dragen1860/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。
This project provides practical, hands-on code examples for various deep learning models using TensorFlow 2.x. It helps machine learning practitioners learn how to implement and apply algorithms like CNNs, RNNs, and GANs to different types of data, such as images and text. Users can take raw data, apply these examples, and produce trained models capable of tasks like image classification, generation, and natural language processing.
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Use this if you are a machine learning engineer or data scientist looking for concrete examples to learn and implement various deep learning architectures in TensorFlow 2.x.
Not ideal if you are looking for a high-level tool or library to integrate into an existing application without needing to understand the underlying model implementation.
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Sep 23, 2020
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