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MorvanZhou/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
A set of small, standalone TensorFlow 1.x scripts walking through neural net basics (sessions, placeholders) up through CNNs, RNNs, autoencoders, DQN, and GANs. Aimed at beginners, originally paired with the author's Chinese-language video course.
Each concept lives in its own short script (one file per topic), so you can read exactly how a CNN or DQN is wired without digging through a larger codebase. Broad coverage for a tutorial repo — regression through GANs and transfer learning in one place. Comes with a free video walkthrough in Chinese, which is a real asset for that audience specifically.
It's TF1 Session/Placeholder code, dead API style since TF2 shipped years ago — you'd need tf.compat.v1 shims to run any of it on a current TensorFlow install, and it teaches patterns nobody writes anymore. No commits since October 2020, no requirements.txt or version pinning, so expect breakage on modern numpy/TF. No tests, no packaging, just flat numbered scripts — fine for following along once, nothing to build on. The README itself points you to the author's newer PyTorch and TF2 tutorials instead, which is a pretty clear signal this one is superseded.