MATLAB Deep Learning

Phil Kim

• 15 juni 2017
• 9781484228449

Samenvatting:

Starting with machine learning fundamentals, this book moves on to neural networks, deep learning, and convolutional neural networks, using MATLAB as the underlying programming language and tool for examples and case studies in this book to tackle some of today's real world big data, smart bots, and other complex data problems.

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.
You will:

• 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