lukedeo/keras-acgan
Auxiliary Classifier Generative Adversarial Networks in Keras
This helps researchers and machine learning practitioners explore the capabilities of generative models. It takes a dataset of images, like handwritten digits, and learns to create new, realistic-looking images that weren't in the original set. This is ideal for those experimenting with image generation and classification techniques.
214 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or student looking for a clear, understandable example of an Auxiliary Classifier Generative Adversarial Network (AC-GAN) to generate categorized images.
Not ideal if you need a production-ready image generation system or are looking for a tool that doesn't require direct interaction with machine learning code.
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Last pushed
Jan 11, 2018
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