This repository provides step-by-step TensorFlow code examples for learning deep learning concepts and basic usage. It covers fundamental neural network architectures including convolutional neural networks, recurrent networks, generative adversarial networks, autoencoders, reinforcement learning (DQN), and word embeddings (word2vec). The code is written concisely with Korean comments to help developers quickly understand both deep learning concepts and TensorFlow implementation patterns.