Long Short-Term Memory Networks With Python

Long Short-Term Memory Networks With Python
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Publisher : Machine Learning Mastery
Total Pages : 245
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Book Synopsis Long Short-Term Memory Networks With Python by : Jason Brownlee

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.


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