dmonn/dcgan-oreilly
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
This project helps machine learning practitioners learn how to build a Deep Convolutional Generative Adversarial Network (DCGAN). You'll feed it a dataset of images, and it will produce new, synthetic images that look like the originals. It's designed for data scientists, machine learning engineers, or researchers looking to understand and implement image generation models.
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Use this if you are a machine learning practitioner wanting a hands-on guide to building and training a DCGAN to generate realistic human faces.
Not ideal if you're looking for a ready-to-use tool for image generation without delving into the underlying code and machine learning concepts.
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Nov 04, 2017
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