This repository contains Jupyter Notebook tutorials introducing deep learning with TensorFlow. It covers foundational topics from simple linear regression to modern architectures including convolutional neural networks, recurrent LSTMs, denoising autoencoders, word2vec embeddings, and generative adversarial networks. The tutorials also include TensorBoard visualization and model saving/restoring examples.