📐 ML Fundamentals

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

ML Fundamentals

What order do these four strings print in?

Google for Developers Intermediate 23h ago

ML Fundamentals

Keras 3 Distributed Training: Scaling Models with JAX using DataParallel, and ModelParallel

Google for Developers Beginner 1mo ago

ML Fundamentals

Understanding JAX: JIT, XLA, and Pure Functions Explained

Google for Developers Beginner 2mo ago

ML Fundamentals

NumPy & JAX NumPy (Part 2)

Google for Developers Beginner 4mo ago

ML Fundamentals

NumPy & JAX NumPy (Part 1)

Google for Developers Beginner 4mo ago

ML Fundamentals

Why JAX and Flax NNX?

Google for Developers Advanced 4mo ago

ML Fundamentals

Introducing Flax NNX (Part 3)

Google for Developers Beginner 4mo ago

ML Fundamentals

Introducing Flax NNX (Part 1)

Google for Developers Beginner 4mo ago

ML Fundamentals

JAX AI Stack: Summary & Conclusion

Google for Developers Beginner 4mo ago

ML Fundamentals

Optimizing Flax NNX Models with Optax (Part 1)

Google for Developers Advanced 4mo ago

ML Fundamentals

The intersection of AI, art, and design with Douglas Edric Stanley and Anthony Masure

Google for Developers Beginner 8mo ago

ML Fundamentals

François Chollet - Creating Keras 3

Google for Developers Beginner 8mo ago

ML Fundamentals

Darren Aronofsky and Demis Hassabis on storytelling in the age of AI

Google for Developers Beginner 10mo ago

ML Fundamentals

Behind the lens: AI, creativity, and the future of filmmaking tools

Google for Developers Beginner 10mo ago

ML Fundamentals

Turing winner David Patterson: how to give AI a bad carbon footprint

Google for Developers Intermediate 10mo ago

ML Fundamentals

Demis Hassabis on the frontiers of AI

Google for Developers Beginner 10mo ago

ML Fundamentals

What's new in the Gemmaverse

Google for Developers Intermediate 10mo ago

ML Fundamentals

Train your JAX models using model.fit(...) in Keras 3

Google for Developers Beginner 10mo ago

ML Fundamentals

What is JAX?

Google for Developers Beginner 10mo ago

ML Fundamentals

GSoC: Machine Learning for Science (ML4SCI) Umbrella Organization

Google for Developers Beginner 1y ago

ML Fundamentals

Gemma Scope demo with Neuronpedia

Google for Developers Advanced 1y ago

2:37

ML Fundamentals

Machine Learning Crash Course: Embeddings

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Neural Networks Backprop

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Neural Networks Intro

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Generalization

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Classification

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Logistic Regression

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: Gradient Descent

Google for Developers Beginner 1y ago

ML Fundamentals

Machine Learning Crash Course: The Optimistic ReLU Function

Google for Developers Beginner 1y ago

ML Fundamentals

Upskill your org in ML/AI with Kaggle

Google for Developers Beginner 1y ago

ML Fundamentals

The limitless possibilities of on-device ML: From accessible toys to grading grapes

Google for Developers Beginner 1y ago

ML Fundamentals

Audio classification - ML on Web with MediaPipe: Episode 7

Google for Developers Beginner 1y ago

ML Fundamentals

Text classification - ML on Web with MediaPipe: Episode 9

Google for Developers Beginner 1y ago

ML Fundamentals

Image embedding - ML on Web with MediaPipe: Episode 12

Google for Developers Beginner 1y ago

ML Fundamentals

A fireside chat with Jeanine Banks and Oriol Vinyals

Google for Developers Beginner 2y ago

ML Fundamentals

Google Machine Learning Bootcamp Korea 2023 Recap

Google for Developers Advanced 2y ago

ML Fundamentals

Training an object detection model - ML on Raspberry Pi with MediaPipe Series

Google for Developers Beginner 2y ago

ML Fundamentals

Face stylization - ML on Android with MediaPipe Series

Google for Developers Beginner 2y ago

ML Fundamentals

Google Developer Experts Summit Europe 2023

Google for Developers Beginner 2y ago

ML Fundamentals

Use your knowledge of Python to make AI

Google for Developers Beginner 2y ago

ML Fundamentals

How is everyone using Web ML? Get inspired!

Google for Developers Beginner 2y ago

ML Fundamentals

Converting Python AI models to JavaScript

Google for Developers Beginner 2y ago

ML Fundamentals

Retraining existing ML models with transfer learning

Google for Developers Beginner 2y ago

ML Fundamentals

Where can YOU learn about machine learning?

Google for Developers Beginner 2y ago

ML Fundamentals

Roll your own Web ML models from a blank canvas

Google for Developers Beginner 2y ago

ML Fundamentals

Supercharge your web app with Machine Learning and MediaPipe

Google for Developers Intermediate 2y ago

ML Fundamentals

Audio classification - ML on Android with MediaPipe Series

Google for Developers Intermediate 2y ago

ML Fundamentals

Model training with MediaPipe Model Maker - ML on Android with MediaPipe Series

Google for Developers Beginner 2y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Calculus: Single Variable Part 2 - Differentiation

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Self-paced

Harden AI: Secure Your ML Pipelines

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Self-paced

AI Materials

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Self-paced

Engineer Features and Evaluate Models for Production

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📚 Coursera Course ↗

Self-paced

Applied Unsupervised Learning in Python

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Self-paced

AppDynamics Monitoring

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📚 Coursera Course ↗

Self-paced

TradeStation EasyLanguage for Algorithmic Trading

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📚 Coursera Course ↗

Self-paced

Create Image Captioning Models - Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Long Short Term Memory (LSTM) Training

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📚 Coursera Course ↗

Self-paced

Math for AI Beginner Part 2 : Vector Calulus

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📚 Coursera Course ↗

Self-paced

Introduction to Social Media Analytics

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📚 Coursera Course ↗

Self-paced

Genomic Data Science and Clustering (Bioinformatics V)

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📚 Coursera Course ↗

Self-paced

Building, Optimizing, and Validating Machine Learning Models

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📚 Coursera Course ↗

Self-paced

Probabilistic Graphical Models 1: Representation

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📚 Coursera Course ↗

Self-paced

Automate, Validate, and Promote ML Models Safely

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📚 Coursera Course ↗

Self-paced

Calculus: Single Variable Part 1 - Functions

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📚 Coursera Course ↗

Self-paced

Fake News Detection with Machine Learning

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📚 Coursera Course ↗

Self-paced

Hyperparameter Tuning with Keras Tuner

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