MorvanZhou/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
This collection of tutorials helps you learn how to build various types of neural networks using TensorFlow. It provides step-by-step guidance on creating models for tasks like predicting continuous values (regression) and categorizing data (classification), starting from basic concepts and progressing to advanced architectures like CNNs and RNNs. This is for developers, data scientists, or machine learning engineers who want to learn TensorFlow through practical examples.
4,348 stars. No commits in the last 6 months.
Use this if you are a developer looking for practical, code-focused examples to learn and implement various neural network models using TensorFlow.
Not ideal if you are looking for a conceptual, theory-heavy introduction to deep learning without code, or if you prefer PyTorch instead of TensorFlow.
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Oct 31, 2020
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