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Author by : Tariq Rashid Languange Used : en Release Date : 2016-03-31 Publisher by : Createspace Independent Publishing Platform ISBN : 1530826608 File Size : 46,8 Mb Total Download : 963
A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also i
Author by : Max Sharp Languange Used : en Release Date : 2016-10-18 Publisher by : ISBN : 1539381951 File Size : 49,7 Mb Total Download : 320
This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview of neural networks so as to know what they are, where they are used, and how they are implemented. The next step is an exploration of the backpropagation algorithm. This is the algorithm behind the functionality of neural networks, and it involves a forward and backward pass. Numby is a Python library which can be used for the purpose of implementation of a neural network. This library is discussed in this book, and you are guided on how to use it for that purp
Author by : Ian Goodfellow Languange Used : en Release Date : 2016-11-10 Publisher by : MIT Press ISBN : 9780262337373 File Size : 48,5 Mb Total Download : 900
"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler