WOW! eBook

Mastering Matplotlib 2.x 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Mastering Matplotlib 2.x

eBook Details: Paperback: 214 pages Publisher: WOW! eBook (November 29, 2018) Language: English ISBN-10: 1789617693 ISBN-13: 978-1789617696 eBook Description: Mastering Matplotlib 2.x: Understand and build beautiful and advanced plots with Matplotlib and Python In this Mastering Matplotlib 2.x book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and...

Generative Adversarial Networks Projects 0

Computer Science & Computer Engineering

Generative Adversarial Networks Projects

eBook Details: Paperback: 316 pages Publisher: WOW! eBook (January 31, 2019) Language: English ISBN-10: 1789136679 ISBN-13: 978-1789136678 eBook Description: Generative Adversarial Networks Projects: Explore various Generative Adversarial Network architectures using the Python ecosystem Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Networks Projects begins by covering the concepts,...

Generative Adversarial Networks Cookbook 1

Computer Science & Computer Engineering

Generative Adversarial Networks Cookbook

eBook Details: Paperback: 268 pages Publisher: WOW! eBook (December 31, 2018) Language: English ISBN-10: 1789139902 ISBN-13: 978-1789139907 eBook Description: Generative Adversarial Networks Cookbook: Simplify next-generation deep learning by implementing powerful generative models using Python, TensorFlow and Keras Developing Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand. This book leads you through eight different examples of modern GAN implementations, including CycleGAN, simGAN, DCGAN, and 2D image to 3D model generation. Each chapter contains useful recipes to build on a common architecture in Python, TensorFlow and Keras to explore increasingly difficult GAN architectures...

Keras 2.x Projects 0

Computer Science & Computer Engineering

Keras 2.x Projects

eBook Details: Paperback: 394 pages Publisher: WOW! eBook (December 31, 2018) Language: English ISBN-10: 1789536642 ISBN-13: 978-1789536645 eBook Description: Keras 2.x Projects: Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn...