📐 ML Fundamentals

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

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

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

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

Demis Hassabis on the frontiers of AI

Google for Developers Beginner 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

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

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

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

Google for Developers Beginner 2y ago

ML Fundamentals

Introduction - ML on Android with MediaPipe Series

Google for Developers Beginner 2y ago

ML Fundamentals

What is AI, ML, and Deep Learning?

Google for Developers Beginner 2y ago

ML Fundamentals

Learn Web ML #webdev

Google for Developers Beginner 3y ago

ML Fundamentals

7.1: Machine Learning as a Web Engineer - putting knowledge into practice

Google for Developers Beginner 3y ago

ML Fundamentals

6.6: Using a retrained spam detection model in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

Recognize custom objects with TensorFlow.js.

Google for Developers Beginner 3y ago

ML Fundamentals

5.3: Using layers models for transfer learning

Google for Developers Beginner 3y ago

ML Fundamentals

5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

ML Fundamentals

This is what we mean when we say Google Developer Experts (GDE)

Google for Developers Beginner 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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📚 Coursera Course ↗

Self-paced

AI-900 - Azure AI Fundamentals and Two Practice Tests

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Geometric Algorithms

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Models in Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Scalable Machine Learning on Big Data using Apache Spark

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Intro to Artificial Intelligence on Microsoft Azure

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Mathematical Biostatistics Boot Camp 1

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Modeling, Transformation, and Serving

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

SPSS: Apply & Evaluate Cluster Analysis Techniques

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Analyze and Build Deep Learning Models with TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Python: Implement & Evaluate Random Forests for ML

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Python and Machine Learning for Asset Management

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Predictive Analytics Model for Term Deposit Investment

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning: Clustering & Retrieval

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Présentation de l'IA et du machine learning sur Google Cloud

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Generative AI: Foundations and Concepts

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced Neural Network Techniques

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps): Getting Started

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced AI Techniques for the Supply Chain

Opens on Coursera ↗