A gentle introduction to Generative Adversarial Networks, and a practical step-by-step tutorial on making your own with PyTorch. This beginner-friendly guide will give you hands-on experience: learning PyTorch basics developing your first PyTorch neural network exploring neural network refinements to improve performance introduce CUDA GPU acceleration

This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.

This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.

Axelrod and Coyle draw from their research with exceptional managers from companies like Corning, Microsoft, Siemens, Merck, and many more to illustrate five powerful practices that can be used in any organization, of any size, in any industry.

Tariq Rashid 拥有物理学学士学位、机器学习和数据挖掘硕士学位。常年活跃于伦敦的技术领域，领导并组织伦敦 Python 聚会小组（近3000名成员）。

Tariq Rashid 拥有物理学学士学位、机器学习和数据挖掘硕士学位。常年活跃于伦敦的技术领域，领导并组织伦敦 Python 聚会小组（近3000名成员）。

PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text.By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease.

媒体推荐 Praise for the Help Your Kids With series: "Every page of the book…creates a welcoming and familiar atmosphere for learning about a potentially intimidating subject." – GeekDad

One of the world’s most innovative and respected cognitive neuroscientists combines the latest scientific discoveries with unique tests and exercises to improve your brainpower—for life. The human brain is not a static organ; it’s plastic, which means it can grow and change. But just like a muscle, you have to exercise it. In Make Your Brain Smarter, Longer , renowned cogniti...(展开全部)

桑德拉·邦德·查普曼博士（Sandra Bond Chapman, Ph.D.） 得克萨斯大学达拉斯分校大脑健康中心（the Center for BrainHealth at The University of Texas）奠基者和主任、得克萨斯大学杰出教授。她根据三十年的创新发现，研究年轻人和老人如何将大脑变得更聪明。在这方面，她是公认的顶级思想家。 雪莉·科克兰德（Shelly Kirkland） 得克萨斯大学达拉斯分校大脑健康中心公关主任。她将国民的注意力引向理解力、大脑保护和治愈的前沿研究领域。