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#Neural Network Architecture

Showing: 53 courses

Neural Network Programming - Deep Learning with PyTorch

1 rewiews
Learn to build and train neural networks using PyTorch, covering tensor operations, CNN architecture, data preparation, training loops, and performance optimization techniques for deep learning projects.
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39 Lesons
9 hours
On-Demand
Free-Video
Stanford University

Stanford Seminar 2022 - DeepMind's Perceiver and Perceiver IO: New Data Family Architecture

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Exploring DeepMind's Perceiver architecture for flexible AI processing across diverse data types, offering domain-general solutions comparable to specialized models in various tasks.
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1 Lesons
59 minutes
On-Demand
Free-Video
University of Central Florida

Capsule Networks for Computer Vision – CVPR 2019 Tutorial

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Explore capsule networks for computer vision, covering architecture, challenges, applications, and advancements in this cutting-edge deep learning approach.
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30 Lesons
2 hours 41 minutes
On-Demand
Free-Video
University of Central Florida

VideoCapsuleNet - A Simplified Network for Action Detection

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Explore VideoCapsuleNet, a simplified network for action detection in videos. Learn about capsule networks, convolutional layers, and innovative techniques for improved video analysis.
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21 Lesons
22 minutes
On-Demand
Free-Video
University of Central Florida

CAP5415 - Introduction to Convolutional Neural Networks Part 2 - Lecture 6

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Explore convolutional neural networks' architecture, layers, and features. Learn about AlexNet, pooling, normalization, and the progression from low-level to complex features in deep learning.
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19 Lesons
36 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Convolutional Neural Networks - Part 1 - Lecture 6

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Comprehensive introduction to Convolutional Neural Networks, covering history, architecture, key concepts, and applications in image processing and beyond.
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26 Lesons
58 minutes
On-Demand
Free-Video
University of Central Florida

Dynamic Routing Between Capsules

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Explore capsule networks, routing-by-agreement, and their applications in computer vision, with a focus on MNIST and multiMNIST datasets.
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14 Lesons
31 minutes
On-Demand
Free-Video
Resemble AI

3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence

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Explore 3D deep learning for gaming, covering human pose estimation, object reconstruction, and computer vision applications with Stanford AI expert Srinath Sridhar.
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30 Lesons
29 minutes
On-Demand
Free-Video
tinyML

TinyML Talks France - State of the TinyML Today

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Exploration des applications, avancées et défis du TinyML, mettant en lumière son potentiel dans les systèmes à très faible consommation et son impact sur l'IA embarquée et l'IoT.
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30 Lesons
53 minutes
On-Demand
Free-Video
Steve Brunton

Physics Informed Machine Learning: High-Level Overview of AI and ML in Science and Engineering

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Explore how to integrate physics into machine learning, enhancing model accuracy and efficiency in engineering applications. Learn to leverage prior physical knowledge across all stages of the ML process.
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12 Lesons
47 minutes
On-Demand
Free-Video
Alan Turing Institute

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

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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
Applied Algebraic Topology Network

Simplicial Neural Networks

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Explore simplicial neural networks, a generalization of graph neural networks for multi-dimensional data, and their applications in imputing missing data on coauthorship complexes.
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10 Lesons
52 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Pawel Dlotko - A Few Simple Stories on Topology in Action

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Explore practical applications of computational topology in material science, dynamical systems, and brain research. Learn how theory and algorithms work together to solve real-world problems.
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20 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

RipsNet- Fast and Robust Estimation of Persistent Homology for Point Clouds

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Estimating persistence diagrams of point clouds using neural networks for faster, more robust topological analysis. Overcomes computational complexity and sensitivity to outliers in practical applications.
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1 Lesons
54 minutes
On-Demand
Free-Video
Alan Turing Institute

Uncertainty Quantification with Physics-Informed Machine Learning

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Exploring uncertainty quantification in physics-informed machine learning, focusing on architecture and learning approaches for scientific applications and complex real-world phenomena.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Tech with Tim

Python Neural Networks - Tensorflow 2.0 Tutorial - What Is a Neural Network?

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Explore neural networks using TensorFlow 2.0, covering key concepts, architecture, and practical implementation in Python for beginners and intermediate learners.
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9 Lesons
27 minutes
On-Demand
Free-Video
UofU Data Science

Neural Networks Foundations - Feedforward Neural Networks

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Master the fundamentals of feedforward neural networks, exploring their architecture, functionality, and implementation principles for building effective machine learning models.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
The Full Stack

Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

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Explore convolutional neural networks, from basic operations to advanced concepts like dilated convolutions and pooling. Learn about the classic LeNet architecture and gain insights into ConvNet implementation.
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9 Lesons
39 minutes
On-Demand
Free-Video
Andrej Karpathy

Building Makemore - Building a WaveNet

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Dive deep into building a WaveNet-like convolutional neural network, exploring torch.nn, and understanding the typical deep learning development process through hands-on implementation.
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18 Lesons
56 minutes
On-Demand
Free-Video
Yannic Kilcher

Feedback Transformers - Addressing Some Limitations of Transformers with Feedback Memory

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Explores Feedback Transformers, an architecture that improves on standard Transformers by allowing higher-level representations to inform lower-level processing, enhancing performance on complex reasoning and long-range dependency tasks.
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12 Lesons
44 minutes
On-Demand
Free-Video
Yannic Kilcher

LambdaNetworks- Modeling Long-Range Interactions Without Attention

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Explore LambdaNetworks, a novel approach to modeling long-range interactions in AI without traditional attention mechanisms, offering improved efficiency and performance in computer vision tasks.
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8 Lesons
1 hour
On-Demand
Free-Video
Krish Naik

LSTM Recurrent Neural Network In Depth Intuition

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Gain in-depth intuition on LSTM Recurrent Neural Networks, exploring memory cells, operations, and layers for advanced understanding of this powerful deep learning architecture.
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6 Lesons
23 minutes
On-Demand
Free-Video
CodeEmporium

Transformers - From Zero to Hero

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Comprehensive deep dive into transformer architecture, covering key concepts from self-attention to tokenization. Includes hands-on coding for both encoder and decoder implementations.
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11 Lesons
3 hours 35 minutes
On-Demand
Free-Video
Yannic Kilcher

RWKV- Reinventing RNNs for the Transformer Era

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Explore RWKV, a novel architecture combining Transformer and RNN strengths. Learn about its linear attention mechanism, scalability, and performance in NLP tasks.
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11 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MITCBMM

Multilingual Representations for Low-Resource Speech Processing

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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

Self-Driving from Vision Only - Tesla's Self-Driving Progress by Andrej Karpathy - Talk Analysis

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Analysis of Tesla's vision-only self-driving progress, discussing data labeling, edge-case sampling, neural network training, and the advantages of camera-only systems over multi-sensor approaches.
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10 Lesons
24 minutes
On-Demand
Free-Video
Yannic Kilcher

Attention Is All You Need

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Explore the groundbreaking Transformer architecture, revolutionizing sequence transduction with attention mechanisms. Learn its superior performance in machine translation and generalization to other NLP tasks.
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11 Lesons
27 minutes
On-Demand
Free-Video
Open Data Science

Learning with Limited Labels - ODSC West 2020

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Explore advanced techniques for machine learning with limited labeled data, including domain adaptation, few-shot learning, and self-supervised learning to enhance model performance across diverse domains and novel categories.
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11 Lesons
40 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Recurrent Neural Networks Explained Easily

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Explore Recurrent Neural Networks: architecture, time series, and Back Propagation Through Time. Learn about simple RNN units and their applications in sequence processing tasks.
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15 Lesons
29 minutes
On-Demand
Free-Video
International Mathematical Union

Theory of Graph Neural Networks: Representation and Learning

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Explore the theory behind Graph Neural Networks, covering approximation, learning properties, and connections to graph isomorphism, equivariant functions, and dynamic programming.
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22 Lesons
46 minutes
On-Demand
Free-Video
tinyML

A Review of Compression Methods for Deep Convolutional Neural Networks

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Explore compression techniques for Convolutional Neural Networks, including pruning, distillation, and quantization, to optimize deployment on tinyML devices without compromising accuracy.
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27 Lesons
58 minutes
On-Demand
Free-Video
deeplizard

CNN Weights - Learnable Parameters in PyTorch Neural Networks

0 rewiews
Explore PyTorch's inner workings, including OOP concepts, convolutional and linear layer weight tensors, and matrix multiplication for deep learning in neural networks.
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1 Lesons
24 minutes
On-Demand
Free-Video
deeplizard

Build PyTorch CNN - Object-Oriented Neural Networks

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Learn to build a convolutional neural network using PyTorch for computer vision and AI applications. Gain hands-on experience in implementing object-oriented neural network architectures.
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1 Lesons
23 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Basic Aspects of Convolutional Neural Networks - Tutorial

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Explore fundamental concepts of convolutional neural networks in this tutorial, covering key principles and applications in deep learning for image processing and pattern recognition.
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1 Lesons
34 minutes
On-Demand
Free-Video
Artem Kirsanov

The Physics of Associative Memory - Exploring Hopfield Networks

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Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.
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9 Lesons
27 minutes
On-Demand
Free-Video
Fields Institute

Learning Port Hamiltonian Structures Using PINNs Architecture

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Explore innovative techniques for learning Port Hamiltonian structures using Physics-Informed Neural Networks, enhancing understanding of dynamical systems and machine learning applications.
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1 Lesons
30 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Basic Aspects of Convolutional Neural Networks - Tutorial

0 rewiews
Explore fundamental concepts of convolutional neural networks, their architecture, and applications in deep learning. Gain insights into this powerful technique for image and pattern recognition.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Geometric Deep Learning - Graph Neural Networks and Differential Equations

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Explore Graph Neural Networks, symmetry principles, and connections to differential equations, geometry, and topology in this comprehensive introduction to Geometric Deep Learning.
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1 Lesons
1 hour 52 minutes
On-Demand
Free-Video
Black Hat

Deep Learning on Disassembly

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Explore deep learning techniques applied to disassembly for malware identification, covering the process from raw binaries to model training and evaluation against active malware feeds.
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21 Lesons
41 minutes
On-Demand
Free-Video
Devoxx

Tensorflow, Deep Learning and Modern Convolutional Neural Nets, Without a PhD

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Explore modern convolutional neural networks and deep learning with TensorFlow. Learn practical tips, engineering best practices, and recent advances in image recognition without needing a PhD.
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18 Lesons
57 minutes
On-Demand
Free-Video
Devoxx

Tensorflow, Deep Learning and Modern RNN Architectures - Without a PhD

0 rewiews
Explore modern RNN architectures and deep learning techniques for image recognition, natural language processing, and reinforcement learning. Gain practical tips and engineering best practices for applying these advanced technologies.
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24 Lesons
53 minutes
On-Demand
Free-Video
Devoxx

Tensorflow and Deep Reinforcement Learning, Without a PhD

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Explore TensorFlow and deep reinforcement learning, covering neural network architectures, recent advances, and practical applications in image recognition, NLP, and AI game-playing.
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16 Lesons
37 minutes
On-Demand
Free-Video
USENIX

CSI NN - Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel

0 rewiews
Reverse engineering neural networks through electromagnetic side channels, revealing architecture details like activation functions, layers, neurons, and weights using non-invasive techniques on ARM Cortex-M3 microcontrollers.
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1 Lesons
23 minutes
On-Demand
Free-Video
EuroPython Conference

Understanding Neural Network Architectures with Attention and Diffusion

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Explore Attention and Diffusion models in neural networks, focusing on their applications in language processing and image synthesis, with simplified diagrams for visual learners.
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1 Lesons
38 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Honey Bee Conservation Using Deep Learning

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Explore DeepBee: an innovative tool using deep learning for automatic honeybee colony assessment, streamlining the process of counting and classifying comb cells for beekeepers.
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1 Lesons
44 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Deep Learning - The Final Frontier for Time Series Analysis

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Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.
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25 Lesons
48 minutes
On-Demand
Free-Video
Scala Days Conferences

Dive into Deep Learning with Scala

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Explore deep learning fundamentals and implementation in Scala, covering neural networks, computer vision, and practical applications with hands-on examples and library comparisons.
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51 Lesons
39 minutes
On-Demand
Free-Video
Scala Days Conferences

AI Assisted Development

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Exploring AI's impact on Scala development, from TDD to code generation, and discussing future possibilities for AI-assisted programming.
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26 Lesons
40 minutes
On-Demand
Free-Video
Aladdin Persson

EfficientNet Paper Walkthrough

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Comprehensive walkthrough of the EfficientNet paper, exploring model scaling, proposed methods, and results. Offers insights into innovative approaches for improving neural network efficiency.
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9 Lesons
26 minutes
On-Demand
Free-Video
Yannic Kilcher

SpineNet - Learning Scale-Permuted Backbone for Recognition and Localization

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Explores SpineNet, a novel CNN architecture using scale-permuted features and cross-scale connections, outperforming traditional models in object detection and classification tasks.
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11 Lesons
36 minutes
On-Demand
Free-Video
Alan Turing Institute

PirateNets - Physics-Informed Deep Learning with Residual Adaptive Networks

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Explore PirateNets: a novel deep learning architecture for solving PDE-governed problems, offering improved stability and efficiency over traditional physics-informed neural networks.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Introduction to Artificial Neural Networks - JSALT 2023

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Explore artificial neural networks: fundamentals, architectures, and applications in this comprehensive introduction from JSALT 2023 workshop.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Capturing Computation with Algorithmic Alignment

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Explore algorithmic alignment in neural networks, its implications for architecture design, and its potential for building future intelligent systems.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video