Amazon cover image
Image from Amazon.com

Practical MATLAB deep learning : a project-based approach / Michael Paluszek and Stephanie Thomas

By: Contributor(s): Material type: TextTextPublication details: India Apress 2020Description: 252 pISBN:
  • 9781484275764
Subject(s): DDC classification:
  • 006.31 PAL-M
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 003-007 General Stack (For lending) 006.31 PAL-M (Browse shelf(Opens below)) Available 45804
Total holds: 0

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning.
Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images.
Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities.

What You Will Learn
Explore deep learning using MATLAB and compare it to algorithms
Write a deep learning function in MATLAB and train it with examples
Use MATLAB toolboxes related to deep learning
Implement tokamak disruption prediction.

There are no comments on this title.

to post a comment.
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

© 2024 BITS-Library, BITS-Hyderabad, India.