Download the fantastic book titled MATLAB Deep Learning written by Phil Kim, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "MATLAB Deep Learning", which was released on 15 June 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of MATLAB Deep Learning by Phil Kim PDF
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.
Detail About MATLAB Deep Learning PDF
- Author : Phil Kim
- Publisher : Apress
- Genre : Computers
- Total Pages : 162 pages
- ISBN : 1484228456
- Release Date : 15 June 2017
- PDF File Size : 18,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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