Thomas Chaton walks you through a single example code flow within the PyTorch Lightning framework! Catch the next live Twitch session here: / pytorch_lightning Join our Discord to participate in the discussion: / discord
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Unit 1 | Welcome to Machine Learning and Deep Learning
Unit 1.1 | What is Machine Learning? | Part 1 | How does it work?
Unit 1.1 | What is Machine Learning? | Part 2 | How does it relate to deep learning?
Unit 1.2 | How Can We Use Machine Learning? | Part 1 | Common Application Areas
Unit 1.2 | How Can We Use Machine Learning? | Part 2 | The Three Classic Categories
Unit 1.3 | A Typical Machine Learning Workflow
Unit 1.4 | The First Machine Learning Classifier | Part 1 | Defining the Prediction Task
Unit 1.4 | The First Machine Learning Classifier | Part 2 | Making Predictions
Unit 1.4 | The First Machine Learning Classifier | Part 3 | The Training Process
Unit 1.4 | The First Machine Learning Classifier | Part 4 | Perceptron Training by Example
Unit 1.4 | The First Machine Learning Classifier | Part 5 | Weight Updates
Unit 1.4 | The First Machine Learning Classifier | Part 6 | Perceptron Decision Boundary