golbin/TensorFlow-Tutorials resource

Health v2 · maintenance only

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2123 stars · 973 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A step-by-step collection of TensorFlow tutorial source code covering deep learning basics through advanced models like CNN, RNN, GAN, DQN, and seq2seq, with Korean comments. It accompanies the book '골빈해커의 3분 딥러닝' and targets developers new to deep learning.

Use cases

• learn tensorflow from scratch
• deep learning tutorial code examples
• understand cnn rnn gan basics
• practice building neural networks in tensorflow
• korean-language deep learning learning resource
• introductory examples for mnist classification and chatbots

When to choose

• you are a beginner wanting simple, minimal TensorFlow examples
• you prefer Korean-language comments and explanations
• you want broad coverage of classic deep learning models in one repo

When to avoid

• you need production-quality or theoretically rigorous implementations
• you use TensorFlow 2.x or PyTorch exclusively
• you need English documentation

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp computer-vision deep-learning machine-learning tutorials computer-vision python tensorflow tutorial korean neural-networks mnist cnn rnn gan seq2seq dqn word2vec autoencoder chatbot natural-language-processing

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