Introduction to Machine Learning

Download our starter code and follow along with Lukas Biewald in this practical, hands-on course. In these first five classes you'll gain experience writing, optimizing, and debugging your own models.

The Weights and Biases class provides an excellent overview of deep learning methods with a focus on experimentation management and debugging, two areas that are ultimately critical to success at the forefront of AI.
– Stuart Bowers, VP Engineering, Tesla
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Course Overview
What is Machine Learning?
Getting Started
1. Build a Neural Network
2. Multilayer Perceptrons
3. Convolutional Neural Networks
4. Autoencoders
5. Sentiment Analysis
6. Recurrent Neural Networks
7. Text Generation
8. Text Classification
9. Long Short-Term Memory
10. Seq2Seq