tensorflow-tutorial

Why we included this project

For someone starting out with TensorFlow, this repo collects worked examples across the main model families, from MLPs with dropout to CNNs, RNNs/LSTMs, sequence-to-sequence translation, word embeddings, and deep reinforcement learning. Each topic links to the official TensorFlow tutorial and a TensorLayer equivalent, so you can compare two APIs for the same model side by side. The material is organized as a tutorial index with a reading list, which makes it a decent self-study path or a reference when you're preparing course content. One caveat: the code targets the TensorFlow 1.x era, so treat it as a learning resource rather than something you'd drop into a modern project.