Long Short-term Memory Networks with Python
Author | : Jason Brownlee |
Publisher | : |
Total Pages | : 229 |
Release | : 2017 |
ISBN-10 | : OCLC:1007093607 |
ISBN-13 | : |
Rating | : 4/5 (07 Downloads) |
Download or read book Long Short-term Memory Networks with Python written by Jason Brownlee and published by . This book was released on 2017 with total page 229 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 written in the friendly Machine Learning Mastery style that you’re used to, 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.