davidADSP/GDL_code
Jupyter Notebook code examples from the O'Reilly book 'Generative Deep Learning' covering generative models.
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This repository contains the official code examples from the O’Reilly book ‘Generative Deep Learning’. It provides implementations of generative models including Variational Autoencoders, GANs, and other deep learning techniques using TensorFlow. The code is organized as Jupyter Notebooks for educational purposes, demonstrating how to build and train generative neural networks for creating images and other synthetic content.
Frequently asked
- What is davidADSP/GDL_code?
- Jupyter Notebook code examples from the O'Reilly book 'Generative Deep Learning' covering generative models.
- Is GDL_code open source?
- Yes — davidADSP/GDL_code is open source, released under the GPL-3.0 license.
- What language is GDL_code written in?
- davidADSP/GDL_code is primarily written in Jupyter Notebook.
- How popular is GDL_code?
- davidADSP/GDL_code has 1.5k stars on GitHub.
- Where can I find GDL_code?
- davidADSP/GDL_code is on GitHub at https://github.com/davidADSP/GDL_code.