Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Run deep learning examples from a popular book using TensorFlow 2.0 instead of MXNet.
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Free · no card · unsubscribe anytime本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Dive-into-DL-TensorFlow2.0 has 3.8k stars on GitHub. It has been forked 815 times. Dive-into-DL-TensorFlow2.0 is written mainly in Jupyter Notebook. It has been in active development since 2018. Dive-into-DL-TensorFlow2.0 is available under the Apache-2.0 license. Its main topics are book, chinese-simplified, cv, deep-learning.
What is Dive-into-DL-TensorFlow2.0?
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Is Dive-into-DL-TensorFlow2.0 open source?
Dive-into-DL-TensorFlow2.0 is an open-source project. It is released under the Apache-2.0 license.
Is Dive-into-DL-TensorFlow2.0 free?
Yes. Dive-into-DL-TensorFlow2.0 is free and open source — you can use, modify and self-host it.
What license does Dive-into-DL-TensorFlow2.0 use?
Dive-into-DL-TensorFlow2.0 is available under the Apache-2.0 license.
What language is Dive-into-DL-TensorFlow2.0 written in?
Dive-into-DL-TensorFlow2.0 is written mainly in Jupyter Notebook.
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