20 Best Backpropagation Ebooks [2024]

Are you looking for the best backpropagation ebooks? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling backpropagation ebooks.

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1 Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory... Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory...
2 Neural Networks: Introduction to Artificial Neurons, Backpropagation Algorithms and Multilayer... Neural Networks: Introduction to Artificial Neurons, Backpropagation Algorithms and Multilayer...
3 Learn From Scratch Backpropagation Neural Networks using Python GUI & MariaDB Learn From Scratch Backpropagation Neural Networks using Python GUI & MariaDB
4 Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward... Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward...
5 Backpropagation Complete Self-Assessment Guide Backpropagation Complete Self-Assessment Guide
6 New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks (SpringerBriefs in... New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks (SpringerBriefs in...
7 Prediction of Adverse Drug Reaction (ADR) Outcomes with use of Machine Learning / Feed-Forward... Prediction of Adverse Drug Reaction (ADR) Outcomes with use of Machine Learning / Feed-Forward...
8 Learn and Write Deep-Learning by Java: Learn and Write Backpropagation and Convolutional... Learn and Write Deep-Learning by Java: Learn and Write Backpropagation and Convolutional...
9 Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners
10 Sensitivity Analysis for Neural Networks (Natural Computing Series) Sensitivity Analysis for Neural Networks (Natural Computing Series)
11 The Math of Neural Networks The Math of Neural Networks
12 Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods... Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian...
13 Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms,... Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data,...
14 MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
15 Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using... Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using...
16 Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language... Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language...
17 Make Your Own Neural Network Make Your Own Neural Network
18 Programming Neural Networks with Encog3 in C# Programming Neural Networks with Encog3 in C#
19 On Task: How Our Brain Gets Things Done On Task: How Our Brain Gets Things Done
20 Neural Network Models: Theory and Projects Neural Network Models: Theory and Projects
Bestseller No. 1
Backpropagation: Theory, Architectures, and Applications (Developments in Connectionist Theory...
  • Amazon Kindle Edition
  • English (Publication Language)
  • 575 Pages - 02/01/2013 (Publication Date) - Psychology Press (Publisher)
Bestseller No. 2
Neural Networks: Introduction to Artificial Neurons, Backpropagation Algorithms and Multilayer...
  • Amazon Kindle Edition
  • Chapmann, Joshua (Author)
  • English (Publication Language)
  • 110 Pages - 09/24/2017 (Publication Date)
Bestseller No. 3
Learn From Scratch Backpropagation Neural Networks using Python GUI & MariaDB
  • Amazon Kindle Edition
  • Wadi, Hamzan (Author)
  • English (Publication Language)
  • 862 Pages - 01/25/2021 (Publication Date)
Bestseller No. 4
Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward...
  • Amazon Kindle Edition
  • Maynard, Morgan (Author)
  • English (Publication Language)
  • 42 Pages - 05/18/2020 (Publication Date)
Bestseller No. 5
Backpropagation Complete Self-Assessment Guide
  • Amazon Kindle Edition
  • Blokdyk, Gerardus (Author)
  • English (Publication Language)
  • 87 Pages - 05/04/2018 (Publication Date) - 5STARCooks (Publisher)
Bestseller No. 6
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks (SpringerBriefs in...
  • Amazon Kindle Edition
  • Gaxiola, Fernando (Author)
  • English (Publication Language)
  • 111 Pages - 06/02/2016 (Publication Date) - Springer (Publisher)
Bestseller No. 7
Prediction of Adverse Drug Reaction (ADR) Outcomes with use of Machine Learning / Feed-Forward...
  • Amazon Kindle Edition
  • Szymanski, Kamil (Author)
  • English (Publication Language)
  • 167 Pages - 04/14/2020 (Publication Date) - Institute of Technology Carlow, Department of Computing and Networking (Publisher)
Bestseller No. 8
Learn and Write Deep-Learning by Java: Learn and Write Backpropagation and Convolutional...
  • Amazon Kindle Edition
  • Yoshinari Sasaki (Author)
  • Japanese (Publication Language)
  • 839 Pages - 02/18/2020 (Publication Date)
Bestseller No. 9
Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners
  • Amazon Kindle Edition
  • Hartshorn, Scott (Author)
  • English (Publication Language)
  • 74 Pages - 08/12/2016 (Publication Date)
Bestseller No. 10
Sensitivity Analysis for Neural Networks (Natural Computing Series)
  • Amazon Kindle Edition
  • Yeung, Daniel S. (Author)
  • English (Publication Language)
  • 98 Pages - 11/09/2009 (Publication Date) - Springer (Publisher)
Bestseller No. 11
The Math of Neural Networks
  • Amazon Kindle Edition
  • Taylor, Michael (Author)
  • English (Publication Language)
  • 201 Pages - 09/07/2017 (Publication Date) - Blue Windmill Media (Publisher)
Bestseller No. 12
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods...
  • Amazon Kindle Edition
  • Nikolaev, Nikolay (Author)
  • English (Publication Language)
  • 334 Pages - 08/18/2006 (Publication Date) - Springer (Publisher)
Bestseller No. 13
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms,...
  • Amazon Kindle Edition
  • Belyadi, Hoss (Author)
  • English (Publication Language)
  • 463 Pages - 04/09/2021 (Publication Date) - Gulf Professional Publishing (Publisher)
Bestseller No. 14
MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
  • Amazon Kindle Edition
  • Wallisch, Pascal (Author)
  • English (Publication Language)
  • 518 Pages - 01/09/2014 (Publication Date) - Academic Press (Publisher)
Bestseller No. 15
Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using...
  • Amazon Kindle Edition
  • Klaas, Sebastian (Author)
  • English (Publication Language)
  • 376 Pages - BPB Publications (Publisher)
Bestseller No. 16
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language...
  • Amazon Kindle Edition
  • Ekman, Magnus (Author)
  • English (Publication Language)
  • 752 Pages - 07/19/2021 (Publication Date) - Addison-Wesley Professional (Publisher)
Bestseller No. 17
Make Your Own Neural Network
  • Amazon Kindle Edition
  • Rashid, Tariq (Author)
  • English (Publication Language)
  • 04/16/2016 (Publication Date)
Bestseller No. 18
Programming Neural Networks with Encog3 in C#
  • Amazon Kindle Edition
  • Heaton, Jeff (Author)
  • English (Publication Language)
  • 241 Pages - 10/02/2011 (Publication Date) - Heaton Research, Inc. (Publisher)
Bestseller No. 19
On Task: How Our Brain Gets Things Done
  • Amazon Kindle Edition
  • Badre, David (Author)
  • English (Publication Language)
  • 341 Pages - 02/22/2022 (Publication Date) - Princeton University Press (Publisher)
Bestseller No. 20
Neural Network Models: Theory and Projects
  • Amazon Kindle Edition
  • de Wilde, Philippe (Author)
  • English (Publication Language)
  • 174 Pages - 06/29/2013 (Publication Date) - Springer (Publisher)

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After hours of searching and using all the models on the market, we have found the best backpropagation ebooks for 2023. See our ranking below!

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  1. Brand Value: Every brand of backpropagation ebooks has a value all its own. Most brands offer some sort of unique selling proposition that’s supposed to bring something different to the table than their competitors.
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  7. Product Quality: You don’t always get what you pay for with an backpropagation ebooks, sometimes less, and sometimes more.
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FAQ:

Q: Does backpropagation really work?

A: Backpropagation is a very popular neural network learning algorithm because it is conceptually simple, computationally efficient, and because it often works. However, getting it to work well, and sometimes to work at all, can seem more of an art than a science.

Q: What is the best method for basic backpropagation?

A: Stochastic learning is generally the preferred method for basic backpropagation for the following three reasons: 1. Stochastic learning is usually much faster than batch learning. 2. Stochastic learning also often results in better solutions.

Q: When is the backpropagation and neural networks lecture 4?

A: Lecture 4: Backpropagation and Neural Networks Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 4 – April 13, 2017 Administrative Assignment 1 due Thursday April 20, 11:59pm on Canvas

Q: What is a focus on the backpropagation algorithm?

A: A focus on the backpropagation algorithm means a focus on “ learning ” at the expense of temporally ignoring “ generalization ” that can be addressed later with the introduction of regularization techniques. A focus on learning means a focus on minimizing loss both quickly (fast learning) and effectively (learning well).

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