Tier

Beginner

Start from zero. Build up what a tensor is, how a model learns from data, and train your first neural network.

1. 1Machine Learning Algorithms: The Big PictureThe three fundamental learning paradigms — supervised, unsupervised, and reinforcement — and how to tell which one a problem needs.~12 min
2. 2About NumPyThe array library underneath almost every ML tool in Python — ndarrays, reshaping, slicing, and broadcasting.~12 min
3. 3What is a Tensor?Scalars, vectors, matrices, and beyond — build an intuition for the shapes TensorFlow moves data around in.~10 min
4. 4Linear Regression PlaygroundDrag points, watch gradient descent fit a line to them in real time, then fit real housing data.~15 min
5. 5Your First Neural NetStack layers of neurons to classify points a single line can't separate, and watch the decision boundary bend as it trains.~20 min
6. 6About KerasTensorFlow's high-level API for building networks as a stack of layers — Sequential models, compile, fit, and reading a model.summary().~14 min