MATLAB Deep Learning
English, Phil Kim, 2017More than 10 pieces in stock at supplier
Product details
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you begin with machine learning fundamentals, then move on to neural networks, deep learning, and 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 an MNIST example with these layers
Who this book is for:
Those who want to learn deep learning.
topic | Technology & IT |
Language | English |
Author | Phil Kim |
Year | 2017 |
Number of pages | 151 |
Book cover | Paperback |
Item number | 8129271 |
Publisher | Springer |
Category | Reference books |
Release date | 30.6.2017 |
topic | Technology & IT |
Language | English |
Author | Phil Kim |
Year | 2017 |
Number of pages | 151 |
Edition | 1 |
Book cover | Paperback |
CO₂ emissions | 0.5 kg |
Climate contribution | CHF 0.11 |
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