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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
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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.
Read more about Kailash Ahirwar

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Preparing the data

In this chapter, we will use the 3D ShapeNets dataset, available at http://3dshapenets.cs.princeton.edu/3DShapeNetsCode.zip. It was released by Wu and Song et al. and consists of properly annotated 3D shapes for 40 object categories. We will use the volumetric data available in the directory, which we will discuss in more detail later on in this chapter. In the next few sections, we will download, extract, and explore the dataset.

The 3D ShapeNets dataset is for academic use only. If you intend to use the dataset for commercial purposes, request permission from the authors of the paper, who can be reached at the following email address: shurans@cs.princeton.edu.

Download and extract the dataset

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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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