This repository contains 5 hands-on labs teaching deep learning with TensorFlow. Topics include logistic regression, feed-forward neural networks, convolutional neural networks, spatial transformers, and recurrent networks. Exercises include MNIST digit classification and the Kaggle leaf classification challenge. Labs are designed to run on CPU laptops but can leverage GPU resources.