{"product_id":"python-deep-learning-develop-your-first-neural-network-in-python-using-tensorflow-keras-and-pytorch-paperback-1","title":"Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSamuel Burns\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eBuild your Own Neural Network today. Through easy-to-follow instruction and examples, you'll learn the fundamentals of Deep learning and build your very own Neural Network in Python using TensorFlow, Keras, PyTorch, and Theano. While you have the option of spending thousands of dollars on big and boring textbooks, we recommend getting the same pieces of information for a fraction of the cost. So\u003cb\u003e Get Your Copy Now  \u003c\/b\u003e\u003cb\u003eWhy this book?\u003cb\u003eBook Objectives\u003c\/b\u003eThe following are the objectives of this book: \u003cul\u003e\n\u003cli\u003eTo help you understand deep learning in detail\u003c\/li\u003e\n\u003cli\u003eTo help you know how to get started with deep learning in Python by setting up the coding environment. \u003c\/li\u003e\n\u003cli\u003eTo help you transition from a deep learning Beginner to a Professional.\u003c\/li\u003e\n\u003cli\u003eTo help you learn how to develop a complete and functional artificial neural network model in Python on your own. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cb\u003eWho this Book is for? \u003c\/b\u003eThe author targets the following groups of people: \u003cul\u003e\n\u003cli\u003eAnybody who is a complete beginner to deep learning with Python.\u003c\/li\u003e\n\u003cli\u003eAnybody in need of advancing their Python for deep learning skills.\u003c\/li\u003e\n\u003cli\u003eProfessors, lecturers or tutors who are looking to find better ways to explain Deep Learning to their students in the simplest and easiest way.\u003c\/li\u003e\n\u003cli\u003eStudents and academicians, especially those focusing on python programming, neural networks, machine learning, and deep learning. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cb\u003eWhat do you need for this Book? \u003c\/b\u003eYou are required to have installed the following on your computer: \u003cul\u003e\n\u003cli\u003ePython 3.X.\u003c\/li\u003e\n\u003cli\u003eTensorFlow .\u003c\/li\u003e\n\u003cli\u003eKeras .\u003c\/li\u003e\n\u003cli\u003ePyTorch \u003c\/li\u003e\n\u003c\/ul\u003eThe Author guides you on how to install the rest of the Python libraries that are required for deep learning.The author will guide you on how to install and configure the rest. \u003cb\u003eWhat is inside the book? \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e What is Deep Learning? \u003c\/li\u003e\n\u003cli\u003e An Overview of Artificial Neural Networks.\u003c\/li\u003e\n\u003cli\u003e Exploring the Libraries.\u003c\/li\u003e\n\u003cli\u003e Installation and Setup.\u003c\/li\u003e\n\u003cli\u003e TensorFlow Basics.\u003c\/li\u003e\n\u003cli\u003e Deep Learning with TensorFlow.\u003c\/li\u003e\n\u003cli\u003e Keras Basics.\u003c\/li\u003e\n\u003cli\u003e PyTorch Basics.\u003c\/li\u003e\n\u003cli\u003e Creating Convolutional Neural Networks with PyTorch.\u003c\/li\u003e\n\u003cli\u003e Creating Recurrent Neural Networks with PyTorch.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cb\u003eFrom the back cover.\u003c\/b\u003eDeep learning is part of machine learning methods based on learning data representations. This book written by Samuel Burns provides an excellent introduction to deep learning methods for computer vision applications. The author does not focus on too much math since this guide is designed for developers who are beginners in the field of deep learning. The book has been grouped into chapters, with each chapter exploring a different feature of the deep learning libraries that can be used in Python programming language. Each chapter features a unique Neural Network architecture including Convolutional Neural Networks. After reading this book, you will be able to build your own Neural Networks using Tenserflow, Keras, and PyTorch. Moreover, the author has provided Python codes, each code performing a different task. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand.\u003c\/b\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 172\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.37 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 03, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212258754809,"sku":"9781092562225","price":20.23,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/bldHUVhYZGZBcUxFTnpCczRiVGxYZz09_cf2ae01e-897d-4b3e-a0d1-5108a031a473.webp?v=1768088391","url":"https:\/\/bookscloud.io\/products\/python-deep-learning-develop-your-first-neural-network-in-python-using-tensorflow-keras-and-pytorch-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}