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Showing: 2,482 courses
NPTEL

Data Mining

25 rewiews
Comprehensive exploration of data mining techniques, covering preprocessing, association rules, classification methods, and clustering algorithms for extracting valuable insights from datasets.
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36 Lesons
16 hours
On-Demand
Free-Video
Massachusetts Institute of Technology

Introduction to Deep Learning

12 rewiews
Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks.
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71 Lesons
2 days 7 hours 16 minutes
On-Demand
Free-Video
Stanford University

Convolutional Neural Networks for Visual Recognition

5 rewiews
This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.
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16 Lesons
20 hours
On-Demand
Free-Video
5 Minutes Engineering

Artificial Intelligence and Robotics

4 rewiews
Explore AI and robotics concepts including search algorithms, expert systems, natural language processing, neural networks, and robotic applications through Hindi-language explanations and examples.
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50 Lesons
4 hours 30 minutes
On-Demand
Free-Video
Stanford University

Stanford Seminar - Google's Multilingual Neural Machine Translation System

1 rewiews
Exploring Google's Multilingual Neural Machine Translation system, its ability for zero-shot translation, and the potential existence of an interlingua in language processing.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Indian Institute of Technology Madras

Machine Learning

2 rewiews
In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each o…
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88 Lesons
1 day 12 hours
On-Demand
Free-Video
University of Michigan

Deep Learning for Computer Vision

1 rewiews
Comprehensive exploration of deep learning techniques for computer vision, covering classification, neural networks, CNNs, object detection, 3D vision, and generative models.
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22 Lesons
1 day 2 hours
On-Demand
Free-Video
Stanford University

Towards Unsupervised Biomedical Image Segmentation Using Hyperbolic Representations - Jeffrey Gu

2 rewiews
Explore unsupervised biomedical image segmentation using hyperbolic representations. Learn about novel self-supervised hierarchical loss and its applications in medical imaging analysis.
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18 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Great Learning

R Programming for Beginners - Learn R in 3 Hours

2 rewiews
Comprehensive introduction to R programming, covering data types, manipulation, visualization, and neural networks. Includes hands-on examples and a Pokemon case study for practical application.
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14 Lesons
3 hours 29 minutes
On-Demand
Free-Video
University College London

Deep Learning Lecture Series

2 rewiews
Comprehensive lecture series covering key deep learning topics, from fundamentals to advanced concepts, including neural networks, computer vision, NLP, and ethical considerations.
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12 Lesons
18 hours
On-Demand
Free-Video
Great Learning

Machine Translation

2 rewiews
Explore AI-powered language translation, from statistical models to neural networks. Learn about RNNs, LSTMs, and sequence-to-sequence models, with a practical English-to-French translation example.
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13 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

Learning Controllers - From Engineering to AGI

1 rewiews
Exploring deep reinforcement learning for autonomous control systems, from fusion plasma to robotics, with a focus on data-efficient methods for real-world applications.
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23 Lesons
55 minutes
On-Demand
Free-Video
University of Central Florida

DreamBooth: Personalized Text-to-Image Generation - Lecture 10

1 rewiews
Explore DreamBooth's innovative approach to AI-generated imagery, including unique identifiers, recontextualization, and artistic renditions. Gain insights into its capabilities and limitations.
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15 Lesons
30 minutes
On-Demand
Free-Video

Learning Artificial Intelligence on the Jetson Nano

1 rewiews
This playlist will teach you artificial intelligence, machine learning, deep learning, and deep neural networks on the NVIDIA Jetson Nano.
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62 Lesons
1 day 19 hours
On-Demand
Free-Video
NPTEL

Deep Learning for Visual Computing

1 rewiews
Comprehensive exploration of deep learning techniques for visual computing, covering neural networks, autoencoders, and CNNs with hands-on implementations using Python and popular datasets.
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26 Lesons
11 hours
On-Demand
Free-Video

Deep Learning Using Matlab

1 rewiews
Explore deep learning concepts and implement neural networks, including CNNs, using MATLAB for practical applications in image classification and beyond.
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9 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Coding Train

The Nature of Code

1 rewiews
Explore simulations of natural systems using JavaScript and p5.js, covering physics, trigonometry, self-organization, genetic algorithms, and neural networks.
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40 Lesons
8 hours
On-Demand
Free-Video

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
NPTEL

Deep Learning for Computer Vision

1 rewiews
The automatic analysis and understanding of images and videos, a field called Computer Vision, occupies significant importance in applications including security, healthcare, entertainment, mobility, etc.
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79 Lesons
1 day 16 hours
On-Demand
Free-Video
Brandon Rohrer

How Convolutional Neural Networks Work

1 rewiews
Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.
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11 Lesons
26 minutes
On-Demand
Free-Video
Aladdin Persson

NeRFs- Neural Radiance Fields - Paper Explained

1 rewiews
Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.
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10 Lesons
20 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

ETA Prediction with Graph Neural Networks in Google Maps - Paper Explained

1 rewiews
Explore Graph Neural Networks for ETA prediction in Google Maps, covering graph formation, features, GNN architecture, loss functions, baselines, inference, and experimental results.
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12 Lesons
39 minutes
On-Demand
Free-Video
5 Minutes Engineering

Machine Learning + Neural Networks Live Sessions - SVM

1 rewiews
Explore Support Vector Machines (SVM) in machine learning and neural networks, focusing on their applications and implementation techniques.
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1 Lesons
39 minutes
On-Demand
Free-Video
Python Simplified

Creating a Machine Learning GUI App with Taipy and TensorFlow

1 rewiews
Build a stylish GUI for image classification using Taipy and TensorFlow. Learn to process images, create neural networks, and design user-friendly interfaces for machine learning applications.
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17 Lesons
31 minutes
On-Demand
Free-Video
NPTEL

Introduction to Soft Computing

1 rewiews
Explore fuzzy logic, genetic algorithms, and artificial neural networks in this comprehensive introduction to soft computing techniques and their applications.
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40 Lesons
19 hours
On-Demand
Free-Video
STMicroelectronics

STM32Cube.AI Workshop

1 rewiews
Hands-on workshop on implementing Neural Networks on STM32 devices using STM32CubeMX and X-Cube-AI tools, covering AI basics, dataset preparation, model creation, and practical labs.
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9 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Aladdin Persson

Graph Neural Networks- A Gentle Introduction

1 rewiews
Gentle introduction to Graph Neural Networks, covering key concepts, properties, and variants. Learn about graph representation, information propagation, and common tasks in this emerging field of machine learning.
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13 Lesons
29 minutes
On-Demand
Free-Video
Jeff Heaton

Programming LSTM with Keras and TensorFlow

1 rewiews
Explore LSTM and GRU layers for recurrent neural networks in Keras, laying the groundwork for NLP and time series prediction with practical examples and implementations.
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17 Lesons
28 minutes
On-Demand
Free-Video

Neurobiology Basics

1 rewiews
Comprehensive exploration of nervous system anatomy, physiology, and function, covering neurons, brain structures, sensory systems, and related disorders through detailed animations.
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37 Lesons
2 hours 30 minutes
On-Demand
Free-Video

Artificial Intelligence

1 rewiews
This whole playlist is going to instroduce you to Artificial Intelligence and Problem Solving using AI in Hindi.
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35 Lesons
6 hours
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

AI, Machine Learning and Deep Learning

1 rewiews
Explore AI, machine learning, and deep learning concepts, including supervised, unsupervised, and reinforcement learning paradigms. Learn when to use traditional ML or deep neural networks for audio applications.
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20 Lesons
31 minutes
On-Demand
Free-Video
Harvard University

Next in Data Visualization - Interactive Systems for Intelligence Augmentation

0 rewiews
Explore interactive data visualization as a tool for studying user interface design and human-computer interaction, with insights from award-winning systems used by Wikipedia and Jupyter/Python communities.
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17 Lesons
28 minutes
On-Demand
Free-Video
Stanford University

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

0 rewiews
Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.
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14 Lesons
58 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
Stanford University

GANs in Medical Image Synthesis, Translation, and Augmentation - Jason Jeong

0 rewiews
Explore GANs in medical imaging for synthetic data generation, addressing scarcity and imbalance issues. Learn about applications in CT, MRI, and disease detection, with insights on challenges and future directions.
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26 Lesons
56 minutes
On-Demand
Free-Video
Stanford University

Self-Training - Weak Supervision Using Untrained Neural Nets for MR Reconstruction - Beliz Gunel

0 rewiews
Exploring untrained neural networks for MR reconstruction, comparing self-training and weak supervision methods to improve performance with limited data while addressing slow inference times.
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13 Lesons
47 minutes
On-Demand
Free-Video
Stanford University

Neural Networks in R and the MNIST Data - Lecture 10.R.1

0 rewiews
Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.
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1 Lesons
30 minutes
On-Demand
Free-Video
Stanford University

Stanford Seminar 2022 - Transformer Circuits, Induction Heads, In-Context Learning

0 rewiews
Explore reverse engineering of transformer language models, focusing on induction head circuits and their role in in-context learning. Gain insights into neural network interpretability and AI safety.
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1 Lesons
1 hour
On-Demand
Free-Video
Stanford University

Stanford Seminar 2022 - Self Attention and Non-Parametric Transformers

0 rewiews
Explore self-attention and Non-Parametric Transformers with PhD students discussing Transformer origins, intuitions, and recent advancements in neural network architecture.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Stanford University

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

0 rewiews
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
Stanford University

Stanford Seminar - Mixture of Experts Paradigm and the Switch Transformer

0 rewiews
Explore the Mixture of Experts paradigm and Switch Transformer, revolutionizing deep learning with sparsely-activated models for improved efficiency and performance in language processing tasks.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Stanford University

Information Theory of Deep Learning - Naftali Tishby

0 rewiews
Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.
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11 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Stanford University

Deep Learning - Adversarial Attacks and GANs - Lecture 4

0 rewiews
Explore adversarial attacks and Generative Adversarial Networks (GANs) in deep learning. Learn from Stanford experts about these advanced techniques and their applications in AI.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Stanford University

Deep Learning Full-Cycle Projects - Lecture 3

0 rewiews
Comprehensive exploration of full-cycle deep learning projects, covering project selection, visualization, and problem-solving techniques for voice-activated devices and network challenges.
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9 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Stanford University

Deep Learning Intuition - Lecture 2

0 rewiews
Explore deep learning intuition with Stanford experts, covering logistic regression, face verification, neural architectures, and advanced applications in computer vision and image processing.
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13 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Stanford University

How I Learned to Stop Worrying and Love the Transformer - Stanford CS25 Lecture

0 rewiews
Explore the Transformer's evolution and future directions with Ashish Vaswani, co-author of "Attention is All You Need". Gain insights into motivations, developments, and promising research areas in AI and NLP.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

0 rewiews
Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 5: Variational Autoencoders

0 rewiews
Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

0 rewiews
Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18

0 rewiews
Explore diffusion models for discrete data in this Stanford lecture, covering advanced techniques in deep generative modeling for AI applications.
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1 Lesons
1 hour
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 2: Background

0 rewiews
Explore fundamental concepts and background for deep generative models, covering essential topics to build a strong foundation in this advanced machine learning field.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 6: Variational Autoencoders

0 rewiews
Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Stanford University

Stanford CS236 - Deep Generative Models - Lecture 1: Introduction

0 rewiews
Explore deep generative models with Stanford's Prof. Ermon. Learn key concepts, applications, and cutting-edge techniques in this comprehensive introduction to a rapidly evolving field of AI.
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1 Lesons
57 minutes
On-Demand
Free-Video
Stanford University

Overview of Transformers - Stanford CS25: Lecture 1

0 rewiews
Comprehensive introduction to NLP, Transformers, and AI agents, covering history, functionality, recent breakthroughs, applications, and challenges in the field of artificial intelligence.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Stanford University

Demystifying Mixtral of Experts - Stanford CS25 Lecture

0 rewiews
Explore Mixtral 8x7B, a Sparse Mixture of Experts model, with Albert Jiang. Learn about its architecture, expert routing, and how it processes 47B parameters while using only 13B during inference.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Stanford University

Democratizing Model Discovery with Neural Networks

0 rewiews
Explore how neural networks revolutionize automated model discovery for soft materials, making it accessible to a diverse community and accelerating scientific innovation in various fields.
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1 Lesons
29 minutes
On-Demand
Free-Video
Stanford University

Divide and Conquer - Concept-based Models for Efficient Transfer Learning

0 rewiews
Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.
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1 Lesons
1 hour
On-Demand
Free-Video
Massachusetts Institute of Technology

Intuitive Reasoning as Unsupervised Neural Generation

0 rewiews
Explore intuitive reasoning in AI through neural generation, covering topics like common sense, language models, and multimodal information with researcher Yejin Choi.
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15 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

The Lottery Ticket Hypothesis - Michael Carbin

0 rewiews
Explore the Lottery Ticket Hypothesis for efficient neural networks. Learn about pruning techniques, sparse architectures, and potential improvements in machine learning methods.
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19 Lesons
1 hour 6 minutes
On-Demand
Free-Video
California Institute of Technology

Machine Learning Course

0 rewiews
Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.
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18 Lesons
1 day
On-Demand
Free-Video
University of Melbourne

Pioneering the Science of Information - IBM's Role in Shaping Information Technology

0 rewiews
Explore IBM's role in shaping information science, future technologies, and their applications in resource management, disaster response, and computational life sciences.
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18 Lesons
57 minutes
On-Demand
Free-Video
University of Melbourne

Getting Robust - Securing Neural Networks Against Adversarial Attacks

0 rewiews
Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.
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23 Lesons
49 minutes
On-Demand
Free-Video
CrashCourse

Artificial Intelligence by CrashCourse

0 rewiews
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning!
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21 Lesons
4 hours 30 minutes
On-Demand
Free-Video

Neural Networks Demystified

0 rewiews
In this short series, we will build and train a complete Artificial Neural Network in python.
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7 Lesons
30 minutes
On-Demand
Free-Video

Neural Networks from Scratch in Python

0 rewiews
Build and understand neural networks from the ground up, covering key concepts like neurons, layers, activation functions, and loss calculation in Python.
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8 Lesons
3 hours 30 minutes
On-Demand
Free-Video

Neural Networks

0 rewiews
This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.
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13 Lesons
3 hours 30 minutes
On-Demand
Free-Video
NPTEL

Pattern Recognition and Application

0 rewiews
This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…
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40 Lesons
1 day 13 hours
On-Demand
Free-Video
NPTEL

Pattern Recognition

0 rewiews
Comprehensive exploration of statistical pattern recognition, covering Bayes classifiers, density estimation, linear discriminants, neural networks, SVMs, and advanced learning techniques.
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41 Lesons
1 day 16 hours
On-Demand
Free-Video
NPTEL

Deep Learning

0 rewiews
Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.
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61 Lesons
1 day 7 hours
On-Demand
Free-Video
NPTEL

Pattern Recognition

0 rewiews
This course provides a fairly comprehensive view of the fundamentals of pattern classification and regression. Topics covered in the lectures include an overview of pattern classification and regression; Bayesian decision making and Bayes classifier
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30 Lesons
1 day 5 hours
On-Demand
Free-Video
NPTEL

Fundamentals of Artificial Intelligence

0 rewiews
Comprehensive exploration of AI concepts, from problem-solving and search algorithms to knowledge representation, reasoning, planning, decision-making, and various machine learning techniques.
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35 Lesons
1 day 1 hour
On-Demand
Free-Video
NPTEL

Applied Natural Language Processing

0 rewiews
Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.
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92 Lesons
1 day 2 hours
On-Demand
Free-Video
NPTEL

Machine Learning

0 rewiews
The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning and deep learning through deci…
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37 Lesons
16 hours
On-Demand
Free-Video

Natural Language Processing

0 rewiews
Accelerated introduction to NLP, covering machine learning basics, text preprocessing, vectorization, and advanced neural network architectures like RNNs, LSTMs, and Transformers.
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27 Lesons
3 hours 30 minutes
On-Demand
Free-Video

Computer Vision

0 rewiews
Explore machine learning and computer vision fundamentals, advanced neural network architectures, and applications in object detection and semantic segmentation.
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28 Lesons
3 hours 30 minutes
On-Demand
Free-Video

NVIDIA Jetson Xavier NX Machine Learning Tutorials

0 rewiews
Comprehensive tutorials on NVIDIA Jetson Xavier NX, covering setup, camera integration, object tracking, and face recognition. Ideal for beginners and advanced users in machine learning and computer vision.
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16 Lesons
13 hours
On-Demand
Free-Video
Santa Fe Institute

Complex Time - Cognitive Regime Shift II - When-Why-How the Brain Breaks

0 rewiews
Exploring brain function loss through complexity science, from cellular to cognitive levels, discussing indicators, mechanisms, and analytical approaches for understanding aging and diseased brains.
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11 Lesons
37 minutes
On-Demand
Free-Video
Santa Fe Institute

Harnessing Chaos and Predicting the Unpredictable with Artificial Intelligence

0 rewiews
Explore how Reservoir Computing and AI can predict chaotic systems like weather and brain dynamics, pushing beyond traditional forecasting limits and combining knowledge-free and knowledge-based approaches.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Santa Fe Institute

Stochastic Learning Dynamics and Generalization in Neural Networks

0 rewiews
Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Santa Fe Institute

Liquid and Solid Brains - Mapping the Cognition Space

0 rewiews
Explore the fascinating comparison between liquid and solid brains, delving into cognitive processes and mapping the intricate landscape of cognition with Ricard Solé.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Santa Fe Institute

Data Art and the Future of Science Communication

0 rewiews
Explore data art's role in science communication with Kirell Benzi. Learn how visual representation enhances understanding, bridges disciplines, and shapes the future of scientific dissemination.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Santa Fe Institute

Swimming Without a Lifeguard in the Ocean of Ideas - Abstraction and Unsupervised Deep Learning

0 rewiews
Explore unsupervised deep learning techniques for discovering hierarchical latent feature spaces, improving interpretability and performance in downstream tasks, and bridging neural and symbolic learning systems.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Santa Fe Institute

Towards Machines That Can Understand, Reason, and Plan

0 rewiews
Explore AI's future with Yann LeCun as he discusses advancements in machine understanding, reasoning, and planning, offering insights into the potential of artificial intelligence.
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1 Lesons
34 minutes
On-Demand
Free-Video
Santa Fe Institute

The Neuroscience and Philosophy of Curious Minds - Exploring Curiosity as a Network Phenomenon

0 rewiews
Exploring curiosity as a networked phenomenon, bridging neuroscience and philosophy to reframe how we understand desire, wonder, and discovery in both the brain and society.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Santa Fe Institute

Building Human-Like Artificial Agents

0 rewiews
Explore the development of AI agents that mimic human behavior and cognition, delving into cutting-edge research and potential implications for the future of artificial intelligence.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Santa Fe Institute

Self-Organization of Strong Connections in the Brain

0 rewiews
Uncover how heavy-tailed connectivity in neural networks emerges from simple mechanisms. Explore a model of synaptic self-organization and its implications for understanding brain structure across species.
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1 Lesons
34 minutes
On-Demand
Free-Video
University of Oxford

The Potential for AI in Science and Mathematics

0 rewiews
Renowned mathematician Terry Tao explores AI's potential in advancing scientific and mathematical research, followed by a discussion with Po-Shen Loh on the future of AI in academia.
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1 Lesons
53 minutes
On-Demand
Free-Video
University of Central Florida

Regularization of Big Neural Networks

0 rewiews
Explore regularization techniques for large neural networks, including DropOut, DropConnect, and stochastic pooling. Learn about deconvolutional networks and their applications in computer vision tasks.
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32 Lesons
53 minutes
On-Demand
Free-Video
University of Central Florida

Trust Region Based Adversarial Attack on Neural Networks

0 rewiews
Explore trust region optimization for adversarial attacks on neural networks, covering various attack methods and their applications in computer vision and object detection.
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28 Lesons
32 minutes
On-Demand
Free-Video
University of Central Florida

Why Can't I Dance in the Mall? Mitigating Scene Bias in Action Recognition

0 rewiews
Explores scene bias in action recognition, proposing solutions like adversary training and human mask confusion loss to improve accuracy across different environments.
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23 Lesons
22 minutes
On-Demand
Free-Video
University of Central Florida

Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction

0 rewiews
Explore unsupervised keypoint learning techniques for guiding class-conditional video prediction, enhancing the accuracy and efficiency of video generation models.
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8 Lesons
29 minutes
On-Demand
Free-Video
University of Central Florida

Generative Adversarial Minority Oversampling

0 rewiews
Explore innovative techniques for addressing class imbalance in machine learning using generative adversarial networks and convex generators, with a focus on minority oversampling.
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12 Lesons
21 minutes
On-Demand
Free-Video
University of Central Florida

CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing

0 rewiews
Learn semi-supervised video object segmentation using capsule routing, exploring capsule networks, video capsules, and advanced techniques for improved accuracy and efficiency in computer vision tasks.
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24 Lesons
49 minutes
On-Demand
Free-Video
University of Central Florida

Subspace Capsule Network

0 rewiews
Explore Subspace Capsule Networks: a novel approach to neural networks that preserves information, norms, and angles. Learn about its principles, applications, and advantages in image classification and generation.
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27 Lesons
22 minutes
On-Demand
Free-Video
University of Central Florida

Unsupervised Meta-Learning for Few-Shot Image Classification

0 rewiews
Explore unsupervised meta-learning techniques for few-shot image classification, including task construction, augmentation methods, and performance on benchmark datasets.
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18 Lesons
26 minutes
On-Demand
Free-Video
University of Central Florida

Deep Constrained Dominant Sets for Person Re-Identification

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Explore advanced techniques for person re-identification using deep learning, including triplet loss, quadruplet loss, diffusion-based methods, and constrained dominant sets.
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13 Lesons
23 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

Capsule Networks - A Survey by Dr. Yogesh Rawat, UCF

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Explore capsule networks in computer vision, covering dynamic routing, equivariance, and applications in segmentation, localization, and medical imaging.
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25 Lesons
29 minutes
On-Demand
Free-Video
University of Central Florida

Generalization to Video Capsules - From Convolutional to Video Capsule Networks

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Explore video capsule networks for action detection and object segmentation, including multi-modal approaches and semi-supervised techniques for improved performance in computer vision tasks.
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37 Lesons
35 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Capsule Networks for Computer Vision

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Explore Capsule Networks for computer vision, covering sparse pattern recognition, viewpoint equivariance, object detection, and dynamic routing techniques.
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23 Lesons
31 minutes
On-Demand
Free-Video