This repository contains Jupyter Notebook implementations of various deep learning models using TensorFlow, including character-level LSTM text generation, Word2Vec skip-gram, seq2seq for machine translation, convolutional autoencoders for image denoising, CNNs for CIFAR image classification, and GANs for MNIST digit generation. The code accompanies a Chinese Zhihu column dedicated to teaching machine learning through practical examples.