Tensorflow-Tutorial

Why we included this project

This tutorial collection pairs with Morvan Zhou's Chinese-language video series, guiding a beginner from the very first TensorFlow graph into more advanced architectures. Each folder holds one self-contained script, so you can read a file, run it, and see the result before moving on to the next idea. The path covers basics like placeholders and a first regression and classification network, then branches into CNN, RNN, autoencoders, DQN, GANs, and transfer learning. The code stays compact and favors understanding over production, which makes it a handy source of concrete examples for learners and teachers putting together their own labs or courses. One caveat: it targets the older TensorFlow 1.x API, so treat it as a learning resource and check the linked TF2 and PyTorch follow-ups for current work.