golbin/TensorFlow-Tutorials
A collection of TensorFlow tutorials covering deep learning models from basics to applications, including CNN, RNN, GAN, and autoencoders.
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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.
Frequently asked
- What is golbin/TensorFlow-Tutorials?
- A collection of TensorFlow tutorials covering deep learning models from basics to applications, including CNN, RNN, GAN, and autoencoders.
- Is TensorFlow-Tutorials open source?
- Yes — golbin/TensorFlow-Tutorials is an open-source project tracked on heatdrop.
- What language is TensorFlow-Tutorials written in?
- golbin/TensorFlow-Tutorials is primarily written in Python.
- How popular is TensorFlow-Tutorials?
- golbin/TensorFlow-Tutorials has 2.1k stars on GitHub.
- Where can I find TensorFlow-Tutorials?
- golbin/TensorFlow-Tutorials is on GitHub at https://github.com/golbin/TensorFlow-Tutorials.