Browse Lessons

4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser

4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js

ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons

4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data

4.5.1: Multi-layer perceptrons - The limits of a single neuron

TensorFlow.js tutorial: A neuron implementation for linear regression

4.4.2: Implement a neuron for linear regression - Importing and normalizing training data

4.4.1: Implement a neuron for linear regression - Training data and outliers

ML tutorial: How to train neurons

4.3.1: What's a neuron?

4.2: Gathering, refining, and using data effectively for ML model datasets

4.1: Rolling your own Web ML models from a blank canvas

Interview with Pavlo Stavytskyi, Android contributor to Google Dev Library

2023 Solution Challenge: Global kick-off event

Google for Startups Accelerator: Climate change #Shorts

17 Days of Flutter, optimizing TensorFlow Processors, and more dev news!

Building community with GDG Lawrence

Hash Code Hubs are back for 2023 - Apply to host a Hub!

3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser

Exploring Tensorflow Hub: Using pre-trained web ML models

Tutorial: How to use raw tensorFlow.js pre-trained models in browser

TensorFlow fundamentals: What are tensors in TensorFlow.js?

Tutorial: Make a web-based smart camera with the COCO-SSD machine learning model in TensorFlow

3.3.5: Make your own web based smart camera in JS - Part 5

3.3.4: Make your own web based smart camera in JS - Part 4

3.3.3: Build a web based smart camera in JavaScript - Part 3

3.3.2: Make your own web based smart camera in JS - Part 2

3.3.1: Make your own web based smart camera in JS - Part 1

3.2: Selecting an ML model to use

Using pre-trained models in TensorFlow | Machine Learning for web developers

Calling student devs! 2023 Solution Challenge is here

2.5: 3 ways to use Machine Learning on the web with TensorFlow.js

2.4: What is TensorFlow.js? (JavaScript + Machine Learning)

Machine learning systems primer: How to train ML models

2.2: Demystifying Machine Learning

AI demystified: The difference between artificial intelligence, machine learning, and deep learning

1.3: Breakdown of WebML course

How web developers can use machine learning

1.1: Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js

Code Jam 2022 World Finals problem walkthrough - Triangles

Code Jam 2022 World Finals problem walkthrough - Schrödinger and Pavlov

We are Google Developers Europe

Introducing passkeys in Chrome #Shorts

Simple ML for Sheets, new Firestore features, and more dev news!

Using ML to prevent the use of counterfeit money in Pakistan

Code Jam 2022 World Finals problem walkthrough - Slide Parade

Mentoring developers of all skill levels: Zaahra's story as a GDSC Lead in Mauritius

Android 13 for TV #Shorts