#760 · Primary category： Education & Research
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Project last updated：09/23/20
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Why we included this project
TensorFlow 2.0 landed in late 2019, and this repository reflects that moment: a collection of short, runnable examples that begin with basic imports and work up to transformer-based models like GPT and BERT. The material leans heavily on computer vision and generative modeling, so it is especially useful for people starting out with CNNs, GANs, autoencoders, and RNNs on TensorFlow 2. Each example pairs the code with the concept behind it and keeps the snippets minimal, which makes it a good companion to a course or a fast way to refresh a topic you have not touched lately. One caveat worth knowing: the APIs date from the 2019-2020 era of TensorFlow, so treat the code as a learning reference rather than something to drop into modern projects unchanged.
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