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。
Explore tutorials and examples for building AI models using TensorFlow 2.x.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeTensorFlow 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。
TensorFlow-2.x-Tutorials has 6.3k stars on GitHub. It has been forked 2.2k times. TensorFlow-2.x-Tutorials is written mainly in Jupyter Notebook. It has been in active development since 2019. Its main topics are artificial-intelligence, computer-vision, deep-learning, machine-learning.
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。
TensorFlow-2.x-Tutorials is an open-source project.
Yes. TensorFlow-2.x-Tutorials is free and open source — you can use, modify and self-host it.
TensorFlow-2.x-Tutorials is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/dragen1860-tensorflow-2-x-tutorials.html)