Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

690
lessons
Deep Learning for Computer Vision with Python and TensorFlow – Complete Course
ML Fundamentals
Deep Learning for Computer Vision with Python and TensorFlow – Complete Course
freeCodeCamp.org Advanced 2y ago
Stanford Seminar - A Picture of the Prediction Space of Deep Networks
ML Fundamentals
Stanford Seminar - A Picture of the Prediction Space of Deep Networks
Stanford Online Advanced 2y ago
Stanford Seminar - Human-AI Interaction Under Societal Disagreement
ML Fundamentals
Stanford Seminar - Human-AI Interaction Under Societal Disagreement
Stanford Online Advanced 2y ago
Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification
ML Fundamentals
Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification
DataCamp Advanced 2y ago
The importance of hyperparameter optimization
ML Fundamentals
The importance of hyperparameter optimization
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip
ML Fundamentals
ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip
MLOps.community Advanced 2y ago
The secret sauce to creating amazing ML experiences for developers
ML Fundamentals
The secret sauce to creating amazing ML experiences for developers
TensorFlow Advanced 2y ago
Sentence Tokenization in Transformer Code from scratch!
ML Fundamentals
Sentence Tokenization in Transformer Code from scratch!
CodeEmporium Advanced 3y ago
Blowing up Transformer Decoder architecture
ML Fundamentals
Blowing up Transformer Decoder architecture
CodeEmporium Advanced 3y ago
Image Editing A.I.
ML Fundamentals
Image Editing A.I.
sentdex Advanced 3y ago
24. Indie Games and Aesthetics with Jesper Juul
ML Fundamentals
24. Indie Games and Aesthetics with Jesper Juul
MIT OpenCourseWare Advanced 3y ago
6.1: Using models from Python in the web browser with TensorFlow.js
ML Fundamentals
6.1: Using models from Python in the web browser with TensorFlow.js
Google for Developers Advanced 3y ago
Ready for the Mathematics for Machine Learning and Data Science Specialization? 🚀
ML Fundamentals
Ready for the Mathematics for Machine Learning and Data Science Specialization? 🚀
DeepLearningAI Advanced 3y ago
3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser
ML Fundamentals
3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser
Google for Developers Advanced 3y ago
MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan
ML Fundamentals
MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan
Microsoft Research Advanced 3y ago
Food for Diffusion
ML Fundamentals
Food for Diffusion
HuggingFace Advanced 3y ago
Understanding and Avoiding Data Leakage with Hamel Husain
ML Fundamentals
Understanding and Avoiding Data Leakage with Hamel Husain
Weights & Biases Advanced 3y ago
Pythae: Unifying Generative Autoencoder Implementations in PyTorch
ML Fundamentals
Pythae: Unifying Generative Autoencoder Implementations in PyTorch
PyTorch Advanced 3y ago
Machine Learning for Combinatorial Optimization: Some Empirical Studies
ML Fundamentals
Machine Learning for Combinatorial Optimization: Some Empirical Studies
Microsoft Research Advanced 3y ago
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
ML Fundamentals
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
PyTorch Advanced 3y ago
An Interview With D. Sculley For Gradient Dissent
ML Fundamentals
An Interview With D. Sculley For Gradient Dissent
Weights & Biases Advanced 3y ago
10 Years of Impact - Oxford Impact Investing Programme
ML Fundamentals
10 Years of Impact - Oxford Impact Investing Programme
Saïd Business School, University of Oxford Advanced 3y ago
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
ML Fundamentals
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
sentdex Advanced 3y ago
The Wrong Batch Size Will Ruin Your Model
ML Fundamentals
The Wrong Batch Size Will Ruin Your Model
Underfitted Advanced 3y ago
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
ML Fundamentals
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
DeepFindr Advanced 3y ago
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
ML Fundamentals
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
ritvikmath Advanced 3y ago
Stanford Seminar - Connecting Robotics and Foundation Models, Brian Ichter of Google DeepMind
ML Fundamentals
Stanford Seminar - Connecting Robotics and Foundation Models, Brian Ichter of Google DeepMind
Stanford Online Advanced 2y ago
Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10
ML Fundamentals
Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10
Stanford Online Advanced 2y ago
Blowing up the Transformer Encoder!
ML Fundamentals
Blowing up the Transformer Encoder!
CodeEmporium Advanced 3y ago
Layer Normalization - EXPLAINED (in Transformer Neural Networks)
ML Fundamentals
Layer Normalization - EXPLAINED (in Transformer Neural Networks)
CodeEmporium Advanced 3y ago
Positional Encoding in Transformer Neural Networks Explained
ML Fundamentals
Positional Encoding in Transformer Neural Networks Explained
CodeEmporium Advanced 3y ago
GPT - Explained!
ML Fundamentals
GPT - Explained!
CodeEmporium Advanced 3y ago
What does GPT in ChatGPT do?
ML Fundamentals
What does GPT in ChatGPT do?
CodeEmporium Advanced 3y ago
1.3: Breakdown of WebML course
ML Fundamentals
1.3: Breakdown of WebML course
Google for Developers Advanced 3y ago
How web developers can use machine learning
ML Fundamentals
How web developers can use machine learning
Google for Developers Advanced 3y ago
ChatGPT and Reinforcement Learning
ML Fundamentals
ChatGPT and Reinforcement Learning
CodeEmporium Advanced 3y ago
Chat GPT Rewards Model Explained!
ML Fundamentals
Chat GPT Rewards Model Explained!
CodeEmporium Advanced 3y ago
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
ML Fundamentals
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
Microsoft Research Advanced 3y ago
Model Preparation Federated Learning and Device Computation
ML Fundamentals
Model Preparation Federated Learning and Device Computation
PyTorch Advanced 3y ago
Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt
ML Fundamentals
Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt
Google for Developers Advanced 3y ago
Curse of Dimensionality - EXPLAINED!
ML Fundamentals
Curse of Dimensionality - EXPLAINED!
CodeEmporium Advanced 3y ago
Regularization - Explained!
ML Fundamentals
Regularization - Explained!
CodeEmporium Advanced 3y ago
Breaking Linear Regression
ML Fundamentals
Breaking Linear Regression
CodeEmporium Advanced 3y ago
Panel discussion and research talk: Computational advances in climate risk assessment
ML Fundamentals
Panel discussion and research talk: Computational advances in climate risk assessment
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery [ASL version]
ML Fundamentals
Plenary: The fifth paradigm of scientific discovery [ASL version]
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery
ML Fundamentals
Plenary: The fifth paradigm of scientific discovery
Microsoft Research Advanced 3y ago
Probability for Machine Learning!
ML Fundamentals
Probability for Machine Learning!
CodeEmporium Advanced 3y ago
The Future of User Interfaces with A.I.
ML Fundamentals
The Future of User Interfaces with A.I.
sentdex Advanced 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Deploy and Optimize Cloud AI Architectures
📚 Coursera Course ↗
Self-paced
Deploy and Optimize Cloud AI Architectures
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Differential Equations Part II Series Solutions
📚 Coursera Course ↗
Self-paced
Differential Equations Part II Series Solutions
Opens on Coursera ↗
AWS AutoGluon for Machine Learning Classification
📚 Coursera Course ↗
Self-paced
AWS AutoGluon for Machine Learning Classification
Opens on Coursera ↗
Medical Image Processing
📚 Coursera Course ↗
Self-paced
Medical Image Processing
Opens on Coursera ↗
Foundations and Core Concepts of PyTorch
📚 Coursera Course ↗
Self-paced
Foundations and Core Concepts of PyTorch
Opens on Coursera ↗
Cloud Analytics with Google Cloud Platform
📚 Coursera Course ↗
Self-paced
Cloud Analytics with Google Cloud Platform
Opens on Coursera ↗