ageron/tf2_course
Jupyter notebooks for a course on deep learning using TensorFlow 2 and Keras.

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A collection of exercises and solutions for learning deep learning with TensorFlow 2 and Keras. The course covers neural networks including multilayer perceptrons, convolutional networks, recurrent networks, and autoencoders. Materials are designed to run on Google Colab, Binder, and Deepnote.
Frequently asked
- What is ageron/tf2_course?
- Jupyter notebooks for a course on deep learning using TensorFlow 2 and Keras.
- Is tf2_course open source?
- Yes — ageron/tf2_course is open source, released under the Apache-2.0 license.
- What language is tf2_course written in?
- ageron/tf2_course is primarily written in Jupyter Notebook.
- How popular is tf2_course?
- ageron/tf2_course has 1.9k stars on GitHub.
- Where can I find tf2_course?
- ageron/tf2_course is on GitHub at https://github.com/ageron/tf2_course.