Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

by Jason Brownlee

Deep learning neural networks have become easy to define and fit, but are still hard to configure. Discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.

Genres: Computer Science

575 pages, ebook

Published January 1, 2018

About the author

Jason Brownlee, Ph.D. trained and worked as a research scientist and software engineer for many years (e.g. enterprise, R&D, and scientific computing), and is known online for his work on Computational Intelligence (e.g. Clever Algorithms), Machine Learning and Deep Learning (e.g. Machine Learning Mastery, sold in 2021) and Python Concurrency (e.g. Super Fast Python).

Jason writes fiction under the pseudonym J.D. Brownlee: https://www.goodreads.com/jdbrownlee

Reviews

[Bianca Roşca · Rating 4 out of 5]

Really good overall, but some parts of the code are outdated so you might get some errors (maybe I have an outdated book version), and also the author is using the same example problem in almost every chapter, which can get quite repetitive.

[Trung Hiếu · Rating 4 out of 5]

Very good for beginner