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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
Languages
Python
Tools
TensorFlowKeras
Concepts
Deep Learning
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Author (1)
Kailash Ahirwar
Kailash Ahirwar
author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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Summary

In this chapter, we have learned what a pix2pix network is and explored its architecture. We started by downloading and preparing the dataset for training, and then prepared the project and looked at a Keras implementation of a pix2pix network. After that, we looked at the objective function for the training of a pix2pix network. We then trained the pix2pix network on the facades dataset and explored some practical applications of a pix2pix network.

In the next chapter, we will be predicting the future of GANs. We are going to be looking at what might happen in the GAN domain in the near future and how it might change our industries and our daily lives.

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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678
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Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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