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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
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Kailash Ahirwar
Kailash Ahirwar
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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.
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Data preparation

In this section, we will be working with the CUB dataset, which is an image dataset of different bird species and can found at the following link: http://www.vision.caltech.edu/visipedia/CUB-200-2011.html. The CUB dataset contains 11,788 high-resolution images. We will also need the char-CNN-RNN text embeddings, which can be found at the following link: https://drive.google.com/open?id=0B3y_msrWZaXLT1BZdVdycDY5TEE. These are pretrained text embeddings. Follow the instructions given in the next few sections to download and extract the dataset.

Downloading the dataset

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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678

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