Long Short-Term Memory Networks With Python
Author | : Jason Brownlee |
Publisher | : Machine Learning Mastery |
Total Pages | : 245 |
Release | : 2017-07-20 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Long Short-Term Memory Networks With Python written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2017-07-20 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Long Short-Term Memory network, or LSTM for short, is a type of recurrent neural network that achieves state-of-the-art results on challenging prediction problems. In this laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about LSTMs. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what LSTMs are, and how to develop a suite of LSTM models to get the most out of the method on your sequence prediction problems.