Conditional GAN in TensorFlow | Generative Adversarial Networks | Deep Learning
In this video, we're going to use the TensorFlow framework to make our very own Conditional GAN.
A Conditional Generative Adversarial Network (Conditional GAN) is a type of machine learning model that goes beyond standard GANs by allowing users to influence and guide the generation of realistic data based on specific conditions or labels.
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Timeline:
00:00 - Introduction
00:39 - Dataset
01:09 - Importing Libraries and Functions
01:28 - Image Dimensions
01:44 - Defining Some Helper Functions.
04:38 - Generator Neural Network
07:48 - Discriminator Neural Network
09:31 - Training Function for GAN
14:09 - Function to Save Generated Images
14:35 - Training the GAN
25:35 - Testing the GAN (Generating Fake Images)
30:03 - Conclusion
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Watch video Conditional GAN in TensorFlow | Generative Adversarial Networks | Deep Learning online without registration, duration 30 minute 35 second in high hd quality. This video was added by user Idiot Developer 19 January 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 566 once and liked it 26 people.