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#Deep Neural Networks

Showing: 167 courses
Paul Hand

Continual Learning and Catastrophic Forgetting

1 rewiews
Explore continual learning and catastrophic forgetting in deep neural networks, covering evaluation methods and algorithms based on regularization, dynamic architectures, and Complementary Learning Systems.
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18 Lesons
42 minutes
On-Demand
Free-Video
Stanford University

Real-Time Seizure Detection Using EEG - Hyewon Jeong

0 rewiews
Comprehensive comparison of state-of-art models for real-time seizure detection using EEG, evaluating performance metrics and exploring optimal feature extractors for practical clinical applications.
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14 Lesons
53 minutes
On-Demand
Free-Video
Stanford University

Optimizing for Interpretability in Deep Neural Networks - Mike Wu

0 rewiews
Explore techniques for making deep neural networks more interpretable through regularization, focusing on medical applications in critical care and HIV treatment. Insights on balancing model performance with human-understandable decision processes.
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23 Lesons
51 minutes
On-Demand
Free-Video
Santa Fe Institute

Compositionality in Vector Space Models of Meaning

0 rewiews
Explore compositional structures in vector space models of meaning, focusing on deep neural networks, grammar, and role-filler bindings to understand language representation.
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11 Lesons
1 hour 26 minutes
On-Demand
Free-Video
University of Central Florida

Explaining and Harnessing Adversarial Examples in Machine Learning - Spring 2021

0 rewiews
Explore adversarial examples in machine learning, their impact on linear and non-linear models, and techniques like adversarial training to improve model robustness and generalization.
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22 Lesons
27 minutes
On-Demand
Free-Video
University of Central Florida

Unmasking Clever Hans Predictors and Assessing Machine Learning - Spring 2021

0 rewiews
Unmasking clever predictors: Explore Layer-wise Relevance Propagation and SPRAY techniques to assess machine learning models' decision-making processes and identify potential biases or faults.
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20 Lesons
47 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

COMI: Correct and Mitigate Shortcut Learning Behavior in Deep Neural Networks

0 rewiews
Explore techniques to correct and mitigate shortcut learning in deep neural networks, enhancing model robustness and generalization capabilities.
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1 Lesons
13 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Shopping Recommendations at Pinterest

0 rewiews
Explore Pinterest's shopping recommendation systems, including engagement-based and embedding-based candidate generation, indexing methods, and deep neural network ranking models.
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1 Lesons
28 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Machine Learning Tools: Skyline and RL-Scope for Performance Optimization

0 rewiews
Explore Skyline and RL-Scope, two innovative tools for optimizing machine learning performance. Learn about interactive profiling, visualization, and debugging for PyTorch networks and cross-stack profiling for deep reinforcement learning.
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1 Lesons
32 minutes
On-Demand
Free-Video
Great Learning

Multilayer Perceptron - Back Propagation in Neural Networks

0 rewiews
This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.
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7 Lesons
2 hours 8 minutes
On-Demand
Free-Video
Great Learning

Artificial Intelligence Tutorial for Beginners - AI Full Course

0 rewiews
Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence.
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10 Lesons
7 hours 12 minutes
On-Demand
Free-Video
TensorFlow

Swift for TensorFlow - Google I/O 2019

0 rewiews
Explore Swift for TensorFlow, a platform integrating deep neural networks with traditional software development. Learn its benefits for advanced machine learning research and why fast.ai chose it for their deep learning course.
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5 Lesons
28 minutes
On-Demand
Free-Video
DigitalSreeni

Introduction to Transfer Learning

0 rewiews
Explore transfer learning to adapt pre-trained networks for microscopy applications, enhancing accuracy with limited labeled data and reducing training time.
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5 Lesons
21 minutes
On-Demand
Free-Video
Institute for Advanced Study

Understanding Deep Neural Networks - From Generalization to Interpretability

0 rewiews
Explore deep neural networks, focusing on generalization and interpretability. Delve into graph convolutional networks, spectral filtering, and transferability. Examine fundamental questions and relevance mapping in machine learning.
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20 Lesons
1 hour 2 minutes
On-Demand
Free-Video
IMSA

Topos and Stacks for Understanding Semantic Functioning of Deep Neural Networks

0 rewiews
Exploring topos theory and stacks to understand semantic functioning of deep neural networks, bridging advanced mathematics with AI for enhanced comprehension of machine learning processes.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
The Machine Learning Engineer

Instalación de Nvidia Cudnn y Primeros Pasos con NVCC en C++

0 rewiews
Aprende a instalar Cudnn, la biblioteca de redes neuronales profundas de CUDA, y comienza a desarrollar aplicaciones de aprendizaje automático con soporte GPU en C++.
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1 Lesons
41 minutes
On-Demand
Free-Video
IEEE

Certified Robustness to Adversarial Examples with Differential Privacy

0 rewiews
Explore certified defense against adversarial examples using differential privacy. Scalable solution for large networks and datasets, providing robustness guarantees for various model types.
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16 Lesons
20 minutes
On-Demand
Free-Video
MITCBMM

Visual Search - Differences Between Your Brain and Deep Neural Networks

0 rewiews
Explore how human visual perception differs from deep neural networks, examining experiments, results, and implications for fields like medical imaging.
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15 Lesons
28 minutes
On-Demand
Free-Video
The Cyber Academy

Big Data in Cybersecurity - Day 1 Academic Sessions

0 rewiews
Explore offensive OSINT, multimedia cybersecurity, persistent tracking, and deep neural networks in this comprehensive academic session on cutting-edge cybersecurity topics.
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1 Lesons
4 hours 17 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Recognizing Sound Events - 2019

0 rewiews
Explore deep neural networks for sound classification, covering speech, music, and environmental sounds. Learn about AudioSet ontology and applications in bioacoustics and cross-modal learning.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Computational Analysis of Sound Scenes - 2020

0 rewiews
Explore computational sound scene analysis, covering tasks from basic classification to advanced localization and captioning, with deep learning techniques and data requirements.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Wolfram

Wolfram AI in Medical Imaging: Prostate Cancer Detection

0 rewiews
Explore AI-powered prostate cancer detection using Wolfram's platform for medical imaging, featuring deep neural networks and MRI diffusion analysis.
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1 Lesons
20 minutes
On-Demand
Free-Video
Alan Turing Institute

A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

0 rewiews
Explore machine learning techniques for anomaly detection, covering traditional methods, deep neural networks, and practical applications in various domains.
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25 Lesons
22 minutes
On-Demand
Free-Video
Alan Turing Institute

Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M

0 rewiews
Explores deep ReLU networks for nonlinear approximation, covering architecture, error analysis, and manifold approximation. Bridges mathematics, statistics, and computer science in data science applications.
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16 Lesons
47 minutes
On-Demand
Free-Video
Alan Turing Institute

High-Dimensional Learning and Deep Neural Networks

0 rewiews
Explorez les réseaux neuronaux profonds et l'apprentissage en haute dimension avec le professeur Mallat. Découvrez les avancées récentes en science des données et leurs applications pratiques.
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1 Lesons
1 hour
On-Demand
Free-Video
Linux Foundation

Neural Search Improvements with Apache Solr 9.1 - Approximate Nearest Neighbor and Pre-Filtering

0 rewiews
Explore neural search in Apache Solr 9.1, including HNSW graph improvements, pre-filtering capabilities, and Deep Learning integrations for enhanced search relevance and efficiency.
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1 Lesons
39 minutes
On-Demand
Free-Video
Paul G. Allen School

Beyond Test Accuracies for Studying Deep Neural Networks

0 rewiews
Explore deep neural networks beyond test accuracies, focusing on model construction, optimization, and inference. Gain insights into generative multitask learning, learning trajectories, and language model consistencies.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Machine Learned Regularisation for Solving Inverse Problems

0 rewiews
Machine learned regularization techniques for solving inverse problems, focusing on image reconstruction from tomographic and blurred measurements. Explores data-driven approaches and discusses open mathematical challenges.
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14 Lesons
55 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Tropical Solutions to Hard Problems in Auction Theory

0 rewiews
Explore tropical mathematics' applications in auction theory, neural networks, and statistics through polytopes, algorithms, and semigroup matrices, unveiling powerful problem-solving techniques.
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10 Lesons
51 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Splines and Imaging - From Compressed Sensing to Deep Neural Networks

0 rewiews
Explore splines in imaging, from compressed sensing to deep neural networks. Unser demonstrates spline optimality in inverse problems and their connection to deep learning, offering insights into ReLU architecture and activation optimization.
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24 Lesons
49 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Topological Uncertainty and Representations for Biomedical Image Analysis

0 rewiews
Innovative approach to biomedical image analysis using topological structures and uncertainty, enhancing segmentation accuracy and enabling interactive annotation for fine-scale delineation.
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1 Lesons
55 minutes
On-Demand
Free-Video
Valence Labs

Linear Causal Representations from Interventions under General Nonlinear Mixing

0 rewiews
Explore causal representation learning from latent interventions in nonlinear settings. Uncover geometric structures, analyze precision matrices, and evaluate a contrastive algorithm for identifying latent variables.
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10 Lesons
54 minutes
On-Demand
Free-Video
Georgia Tech Research

Mathematics for Deep Neural Networks: Advantages of Additional Layers - Lecture 3

0 rewiews
Explore the mathematical advantages of deep neural networks over shallow networks, focusing on localization, approximation capabilities, and the Kolmogorov-Arnold theorem.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Georgia Tech Research

Mathematics for Deep Neural Networks: Statistical Theory for Deep ReLU Networks - Lecture 4

0 rewiews
Explore statistical theory for deep ReLU networks, focusing on risk bounds, approximation properties, and sparse connections in neural network architectures.
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1 Lesons
59 minutes
On-Demand
Free-Video
Georgia Tech Research

Mathematics for Deep Neural Networks: Energy Landscape and Open Problems - Lecture 5

0 rewiews
Explore the energy landscape of deep neural networks and future challenges in statistical theory, focusing on gradient descent methods and important developments.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Imperial College London

Digital Design and Net Zero in Aviation: Optimizing Gas Turbines for Sustainability

0 rewiews
Explore digital design and optimization strategies for gas turbines in aviation, focusing on net-zero goals and advanced manufacturing techniques.
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1 Lesons
1 hour
On-Demand
Free-Video
Artem Kirsanov

Dendrites: Why Biological Neurons Are Deep Neural Networks

0 rewiews
Explore how individual neurons function like deep neural networks, examining their complex information processing capabilities and the physiological mechanisms behind their computational complexity.
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9 Lesons
25 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Machine Learning for Determining Protein Structure and Dynamics from Cryo-EM Images

0 rewiews
Explore machine learning techniques for analyzing cryo-EM images to determine protein structure and dynamics, focusing on the cryoDRGN algorithm and its applications in structural biology.
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1 Lesons
49 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

High Accuracy Wavefunctions Using Deep-Learning-Based Variational Monte Carlo

0 rewiews
Explore deep learning-based variational Monte Carlo for high-accuracy wavefunctions in computational chemistry, featuring novel architecture and improved methods for ground state energy calculations.
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16 Lesons
41 minutes
On-Demand
Free-Video
Valence Labs

HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions

0 rewiews
Explore HyperPCM, a robust method for predicting drug-target interactions using hypernetworks. Learn about its state-of-the-art performance on benchmarks and excellence in zero-shot inference for unseen protein targets.
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9 Lesons
50 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Getting the Best of Both Worlds - IoT and Edge Using Hierarchical Inference

0 rewiews
Explore hierarchical inference strategies for optimizing IoT and edge computing, focusing on machine fault detection and image classification while balancing accuracy with resource constraints.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
tinyML

Autonomous Nano-UAVs: An Extreme Edge Computing Case

0 rewiews
Exploring autonomous nano-UAVs as extreme edge computing cases, focusing on onboard intelligence, machine learning techniques, and full-stack solutions for navigation and human-robot interaction in resource-constrained environments.
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22 Lesons
31 minutes
On-Demand
Free-Video
Alan Turing Institute

The Design of Functional Numerical Software - Dr. Richard Mortier, University of Cambridge

0 rewiews
Explore functional numerical software with Owl, an OCaml library for scientific computing. Learn about its architecture, features, and applications in CPU, GPU, and browser environments.
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31 Lesons
57 minutes
On-Demand
Free-Video
Data Science Conference

Adversarial Attacks in Deep Neural Networks - Understanding Vulnerabilities and Countermeasures

0 rewiews
Explore the world of adversarial attacks in Machine Learning, understanding how malicious inputs can deceive Deep Neural Networks and the ongoing challenges in developing effective defenses.
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1 Lesons
21 minutes
On-Demand
Free-Video
Data Science Conference

AI-Enhanced Medical Mask Compliance in Healthcare - Building a Safety Net with Computer Vision

0 rewiews
Discover how computer vision and deep neural networks enhance medical mask compliance monitoring through object detection and facial landmark analysis for improved healthcare safety.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Full Stack

Troubleshooting Deep Neural Networks - Full Stack Deep Learning - March 2019

0 rewiews
Learn effective strategies for diagnosing and fixing issues in deep neural networks, including a decision tree for systematic troubleshooting and performance optimization.
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1 Lesons
1 hour 39 minutes
On-Demand
Free-Video
USENIX

Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators

0 rewiews
Numerically accurate hardware emulation tool for evaluating DNN accelerator designs and their impact on model accuracy, enabling fast prototyping and analysis of optimization strategies.
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1 Lesons
18 minutes
On-Demand
Free-Video
Conf42

Exploring ChatGPT for Improved Observability

0 rewiews
Explore ChatGPT's potential for enhancing observability in modern platforms. Learn about AI innovations, deep neural networks, and practical applications in IT operations and decision-making.
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21 Lesons
23 minutes
On-Demand
Free-Video
Yannic Kilcher

Author Interview - VOS- Learning What You Don't Know by Virtual Outlier Synthesis

0 rewiews
Interview exploring Virtual Outlier Synthesis for out-of-distribution detection in neural networks. Discusses motivations, methodology, and key findings of novel approach to improve model robustness using synthesized outlier data.
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11 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Learning What You Don't Know by Virtual Outlier Synthesis - Paper Explained

0 rewiews
Explore Virtual Outlier Synthesis, a novel method for improving out-of-distribution detection in deep learning models by generating synthetic outliers during training to enhance decision boundary regularization.
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9 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Predicting the Rules Behind - Deep Symbolic Regression for Recurrent Sequences

0 rewiews
Explore deep symbolic regression for predicting rules behind number sequences using transformers. Learn about data encoding, training processes, and applications beyond mathematics in this in-depth interview.
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13 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture II

0 rewiews
Explore tropical mathematics and its applications in neural networks, auction theory, and more, focusing on key ideas of tropical objects as limits and their polyhedral geometry.
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11 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Databricks

Listening at the Cocktail Party - Deep Neural Networks for Speech Separation

0 rewiews
Explore deep neural networks for speech separation, focusing on data preparation, network architectures, and real-time implementation on embedded devices for smart audio applications.
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29 Lesons
40 minutes
On-Demand
Free-Video
The Royal Institution

Materialising Artificial Intelligence - With Wilfred G. van der Wiel

0 rewiews
Explore brain-inspired nanosystems and their potential for efficient information processing, discussing technological implications and the future of artificial intelligence in material form.
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18 Lesons
1 hour 10 minutes
On-Demand
Free-Video
TheIACR

From Idea to Impact, the Crypto Story - What's Next?

0 rewiews
Explore the intersection of cryptography and machine learning, examining challenges, impacts, and future directions in digital privacy, adversarial learning, and quantum resilience.
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41 Lesons
1 hour 3 minutes
On-Demand
Free-Video
MITCBMM

Multilingual Representations for Low-Resource Speech Processing

0 rewiews
Explore multilingual speech representations to reduce data requirements for new language speech recognition systems, focusing on low-resource scenarios and keyword search performance.
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24 Lesons
40 minutes
On-Demand
Free-Video
Yannic Kilcher

Evolving Normalization-Activation Layers

0 rewiews
Explore evolutionary search for optimal normalization-activation layers in neural networks, uncovering novel designs that outperform traditional methods across various image-related tasks.
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11 Lesons
31 minutes
On-Demand
Free-Video
Alan Turing Institute

Approximation with Deep Networks - Remi Gribonval, Inria

0 rewiews
Explore deep network approximation, focusing on expressivity, universal properties, sparse networks, and the impact of network architecture and activation functions on performance.
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22 Lesons
50 minutes
On-Demand
Free-Video
Alfredo Canziani

Neural Nets - Rotation and Squashing

0 rewiews
Explore neural network fundamentals, including affine transformations, non-linearities, and PyTorch implementation. Learn about ReLU, tanh, and deep network architectures through intuitive explanations and coding examples.
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16 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Pascal Poupart

Deep Neural Networks

0 rewiews
Explore deep neural networks, activation functions, and optimization techniques. Learn about gradient vanishing and solutions like rectified linear units.
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12 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

The Information Bottleneck Theory of Deep Neural Networks

0 rewiews
Explore the Information Bottleneck Theory's application to deep neural networks, examining statistical learning, information theory, and stochastic gradient descent in brain data analysis.
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14 Lesons
1 hour 38 minutes
On-Demand
Free-Video
Open Data Science

Challenges and Opportunities in Applying Machine Learning - Alex Jaimes - ODSC East 2018

0 rewiews
Explore strategies for effective machine learning implementation, covering data quality, metrics selection, error handling, and process optimization to maximize real-world impact and avoid common pitfalls.
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18 Lesons
56 minutes
On-Demand
Free-Video
International Mathematical Union

Deep Neural Networks via Monotone Operators

0 rewiews
Explore deep equilibrium models, their theoretical foundations, and applications in machine learning, including guaranteed convergence and robustness in neural networks.
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24 Lesons
46 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Implicit and Explicit Regularization in Deep Neural Networks

0 rewiews
Explores implicit and explicit regularization in deep neural networks, connecting learning algorithms to H-infinity control and explaining convergence behavior in over-parametrized models, offering insights into generalization abilities.
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20 Lesons
37 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Perception and Learning for Autonomous Driving - Part 1

0 rewiews
Explore perception and learning for autonomous driving, covering sensor suites, deep neural networks, and object detection techniques in this comprehensive tutorial.
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21 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Fields Institute

Arbitrage-Free Yield Curve and Bond Price Forecasting by Deep Neural Networks

0 rewiews
Explore deep neural networks for arbitrage-free yield curve and bond price forecasting, enhancing quantitative finance strategies and market predictions.
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1 Lesons
59 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Interpreting Deep Neural Networks Towards Trustworthiness - IPAM at UCLA

0 rewiews
Explore techniques for interpreting deep neural networks, including ACD and AWD methods, to enhance trustworthiness in AI applications across scientific domains.
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1 Lesons
53 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks

0 rewiews
Explore techniques for understanding and improving deep neural networks' decision-making processes, focusing on safety in critical applications and automatic correction of unreliable internal nodes.
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1 Lesons
54 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

From Network Dissection to Policy Dissection - Emergent Concepts in Deep Representations

0 rewiews
Explore emergent concepts in deep neural networks, from image classification to reinforcement learning, revealing inner workings and enabling meaningful human-AI interactions for content creation and robotics control.
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1 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Tutorial on Deep Learning IV

0 rewiews
Explore advanced deep learning concepts with Carnegie Mellon expert Ruslan Salakhutdinov, covering cutting-edge techniques and applications in machine learning.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Interpreting Deep Neural Networks

0 rewiews
Explore techniques for interpreting deep neural networks, focusing on methods to understand and explain their decision-making processes and internal representations.
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1 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks

0 rewiews
Explore the underlying mechanisms of deep learning's success, focusing on implicit self-regularization in neural networks and its impact on model performance.
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1 Lesons
38 minutes
On-Demand
Free-Video
Open Data Science

What Kind of AI Can Help Manufacturing Adapt to a Pandemic

0 rewiews
Explore how AI, particularly DDNs and L-DNNs, can revolutionize quality inspections in manufacturing, adapting to challenges like COVID-19 and Industry 4.0 for improved efficiency and product quality.
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11 Lesons
44 minutes
On-Demand
Free-Video
Open Data Science

Learning to Optimize High Dimensional Optimization Problems

0 rewiews
Explore deep neural networks and reinforcement learning for solving high-dimensional optimization problems, improving performance in job scheduling, neural architecture search, and black-box optimization.
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19 Lesons
43 minutes
On-Demand
Free-Video
Databricks

Generalized Pipeline Parallelism for DNN Training - PipeDream System Overview

0 rewiews
Efficient multi-accelerator parallelization for DNN training using PipeDream, combining intra-batch parallelism with inter-batch pipelining to improve throughput and overcome challenges in bi-directional training.
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10 Lesons
21 minutes
On-Demand
Free-Video
Jeff Heaton

Neural Networks with Ensembles for TensorFlow and Keras

0 rewiews
Learn to create and evaluate ensemble models using random forests and deep neural networks with TensorFlow, Keras, and scikit-learn. Explore feature importance and perturbation ranking techniques.
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15 Lesons
24 minutes
On-Demand
Free-Video
Paul Hand

Gradient Descent and Stochastic Gradient Descent

0 rewiews
Explore gradient descent and stochastic gradient descent in deep neural networks, covering convergence rates, learning rate effects, and challenges in optimization algorithms.
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10 Lesons
57 minutes
On-Demand
Free-Video
Paul Hand

Adversarial Examples for Deep Neural Networks

0 rewiews
Explore adversarial examples in deep neural networks, covering white/black box attacks, real-world scenarios, and defense strategies like adversarial training. Gain insights into various attack methods and their implications.
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12 Lesons
44 minutes
On-Demand
Free-Video
Paul Hand

Supervised Machine Learning Review

0 rewiews
Comprehensive review of supervised machine learning concepts, focusing on statistical frameworks, loss functions, and the intriguing double-descent phenomenon in neural networks.
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11 Lesons
47 minutes
On-Demand
Free-Video
Paul G. Allen School

Deja Vu - The Story of Vision & AI

0 rewiews
Explore the evolution of computer vision and AI with Ali Farhadi, covering deep neural networks, object detection, visual reasoning, and future predictions in this insightful seminar.
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20 Lesons
57 minutes
On-Demand
Free-Video
tinyML

In-memory Computing and Dynamic Vision Sensors for Internet of Video Things

0 rewiews
Exploring neuromorphic technologies, dynamic vision sensors, and in-memory computing for energy-efficient IoT video applications, with focus on innovative solutions for intelligent transportation and unattended ground sensors.
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16 Lesons
32 minutes
On-Demand
Free-Video
tinyML

Mastering the Three Pillars of AI Acceleration: Algorithms, Hardware, and Software

0 rewiews
Explore IBM Research's holistic approach to AI acceleration, covering low-precision DNN models, scalable hardware techniques, and efficient software methodologies for optimal performance.
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18 Lesons
28 minutes
On-Demand
Free-Video
tinyML

Programmable In-Memory Computing Accelerator with 100 SRAM IMC Macros

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Explore programmable in-memory computing accelerators for efficient deep neural network processing, featuring 100 SRAM IMC macros and innovative architecture design for improved energy efficiency.
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15 Lesons
30 minutes
On-Demand
Free-Video
Andreas Geiger

Attacking Optical Flow

0 rewiews
Explores adversarial patch attacks on optical flow networks, revealing vulnerabilities in deep learning-based motion estimation crucial for autonomous driving safety.
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22 Lesons
30 minutes
On-Demand
Free-Video
Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

0 rewiews
Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.
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6 Lesons
1 hour 11 minutes
On-Demand
Free-Video
tinyML

Machine Learning at the Extreme Edge of Always-on Intelligent Sensor Networks

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Explore ML optimization techniques for resource-constrained IoT sensor nodes, focusing on system, algorithm, architecture, and circuit levels to achieve significant area-power improvements.
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17 Lesons
43 minutes
On-Demand
Free-Video
Linux Foundation

FedLess - Secure and Scalable Serverless Federated Learning

0 rewiews
Explore serverless federated learning with FedLess, addressing scalability and security challenges in collaborative model training across distributed clients using cloud platforms.
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1 Lesons
31 minutes
On-Demand
Free-Video
Digi-Key

TinyRL: Teaching AI to Swing Up a Real Pendulum

0 rewiews
Explore reinforcement learning to train an AI agent to swing up a real pendulum using Arduino, Python frameworks, and ESP32 deployment, with practical demonstrations and troubleshooting tips.
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15 Lesons
22 minutes
On-Demand
Free-Video
Paul G. Allen School

A Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprint

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Exploring a decade of machine learning accelerators, lessons learned, and strategies to reduce the carbon footprint of deep neural networks through optimizing models, machines, mechanisms, and mapping.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Paul G. Allen School

Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units

0 rewiews
Exploring three generations of Tensor Processing Units (TPUs) for deep neural networks, highlighting performance improvements and the rise of domain-specific architectures in the post-Moore's Law era.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
TEDx

Sustainable Success - AI's Impact on Humanity and Innovation

0 rewiews
Explore AI's transformative impact on humanity with Dr. Srinivas Kishan, a double PhD holder in AI. Discover how this technology can empower us to tackle complex problems and redefine possibilities.
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1 Lesons
18 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

The Softmax Function, Potts Model and Variational Neural Networks in Image Segmentation

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Exploring variational models as layers in deep neural networks for image segmentation, integrating traditional techniques with DNNs to improve performance and incorporate shape priors.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
USENIX

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances

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Optimize DNN training costs using preemptible cloud instances with Parcae, a system that proactively adjusts parallelization strategies based on predicted resource changes, improving performance and scalability.
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1 Lesons
16 minutes
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Free-Video
Institute for Pure & Applied Mathematics (IPAM)

News on Tensor Networks for Machine Learning and Quantum Computing Simulation

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Explore recent advancements in tensor networks for enhancing machine learning and simulating quantum processors, covering deep neural networks, convolutional networks, and large language models.
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1 Lesons
1 hour 8 minutes
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Free-Video
Alan Turing Institute

Data-Driven Regularisation for Solving Inverse Problems - Carola-Bibiane Schönlieb, Turing/Cambridge

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Explores data-driven regularizers for inverse imaging problems, combining model-based and data-driven approaches. Covers bilevel optimization and deep neural networks for image processing.
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1 Lesons
48 minutes
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Free-Video
ACM SIGPLAN

Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training

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Explore a novel abstraction-based approach for efficient reachability analysis of DNN-controlled systems, improving tightness and efficiency over existing methods.
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1 Lesons
18 minutes
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Free-Video
Center for Language & Speech Processing(CLSP), JHU

I-Vector Representation Based on GMM and DNN for Audio Classification

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Explore advanced I-vector techniques for audio classification, including GMM and DNN-based approaches. Learn about subspace modeling and applications in language and dialect recognition.
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1 Lesons
57 minutes
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Free-Video
Labroots

Explainable AI with Applications for Brain Imaging and Drug Discovery

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Explore explainable AI techniques for deep neural networks, focusing on saliency backpropagation. Learn applications in biomarker discovery from fMRI data and drug mechanism prediction.
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1 Lesons
36 minutes
On-Demand
Free-Video
HOTI - Hot Interconnects Symposium

Principles and Practice of Scalable and Distributed Deep Neural Networks Training and Inference

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Dive into scalable and distributed deep neural networks, exploring advanced training and inference techniques for enhanced performance and efficiency in modern AI systems.
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1 Lesons
2 hours 44 minutes
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Free-Video
BSidesLV

Static Detection of Novel Malware Using Transfer Learning with Deep Neural Networks

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Explore innovative malware detection techniques using transfer learning and deep neural networks for enhanced cybersecurity and threat prevention.
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1 Lesons
50 minutes
On-Demand
Free-Video