4:43 1.1: Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js Google for Developers
11:14 AI demystified: The difference between artificial intelligence, machine learning, and deep learning Google for Developers
16:22 Using pre-trained models in TensorFlow | Machine Learning for web developers Google for Developers
14:46 Tutorial: Make a web-based smart camera with the COCO-SSD machine learning model in TensorFlow Google for Developers
18:06 3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser Google for Developers
10:06 4.2: Gathering, refining, and using data effectively for ML model datasets Google for Developers
4:33 4.4.1: Implement a neuron for linear regression - Training data and outliers Google for Developers
9:40 4.4.2: Implement a neuron for linear regression - Importing and normalizing training data Google for Developers
10:42 4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data Google for Developers
11:28 ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons Google for Developers
18:43 4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js Google for Developers
15:38 4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser Google for Developers
15:23 4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js Google for Developers
6:48 5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js Google for Developers
14:11 6.2: Converting Python saved models with the TensorFlow.js command line converter Google for Developers
8:31 6.4.1: Using a natural language model: Comment spam detection - setting up the web scaffolding Google for Developers
4:10 6.4.2: Using a natural language model: Comment spam detection - loading a pretrained NLP model Google for Developers
11:06 6.4.3: Using a natural language model: Comment spam detection - word tokenization Google for Developers
8:24 6.4.4: Using a natural language model: Comment spam detection - web sockets Google for Developers
4:47 6.6: Using a retrained spam detection model in the web browser with TensorFlow.js Google for Developers
12:51 Advanced machine learning for web developers: Autoencoders, GANs, RNNs and more Google for Developers
