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Artificial Neural Networks and Deep Learning
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1 |
Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.
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really liked it 4.00 avg rating — 174 ratings
score: 799,
and
8 people voted
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2 |
Deep Learning (Adaptive Computation and Machine Learning series)
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4.44 avg rating — 2,082 ratings
score: 688,
and
7 people voted
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3 |
Neural Networks and Deep Learning
by
Michael Nielsen (Goodreads Author)
4.57 avg rating — 447 ratings
score: 596,
and
6 people voted
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4 |
The Math of Neural Networks
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4.17 avg rating — 110 ratings
score: 396,
and
4 people voted
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5 |
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
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3.61 avg rating — 18 ratings
score: 296,
and
3 people voted
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6 |
Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters
by
Gleb Tsipursky (Goodreads Author)
4.13 avg rating — 253 ratings
score: 290,
and
3 people voted
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7 |
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
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4.39 avg rating — 23 ratings
score: 200,
and
2 people voted
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8 |
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
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4.11 avg rating — 170 ratings
score: 198,
and
2 people voted
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8 |
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
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4.28 avg rating — 32 ratings
score: 198,
and
2 people voted
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10 |
The Truth-Seeker’s Handbook: A Science-Based Guide
by
Gleb Tsipursky (Goodreads Author)
4.18 avg rating — 77 ratings
score: 193,
and
2 people voted
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11 |
Deep Learning, Vol. 1: From Basics to Practice
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really liked it 4.00 avg rating — 17 ratings
score: 183,
and
2 people voted
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12 |
Deep Learning, Vol. 2: From Basics to Practice
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really liked it 4.00 avg rating — 15 ratings
score: 181,
and
2 people voted
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13 |
Make Your Own Neural Network
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4.35 avg rating — 695 ratings
score: 100,
and
1 person voted
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13 |
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
Steven Finlay (Goodreads Author)
4.12 avg rating — 203 ratings
score: 100,
and
1 person voted
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13 |
A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Artificial Intelligence Book 1)
by
Murat Durmus (Goodreads Author)
4.20 avg rating — 10 ratings
score: 100,
and
1 person voted
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13 |
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
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4.86 avg rating — 7 ratings
score: 100,
and
1 person voted
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17 |
Neural and Adaptive Systems: Fundamentals through Simulations
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3.40 avg rating — 10 ratings
score: 98,
and
1 person voted
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17 |
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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17 |
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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20 |
Neural Networks: A Systematic Introduction
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3.63 avg rating — 19 ratings
score: 96,
and
1 person voted
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21 |
Handbook of Neuroevolution Through Erlang
by
4.45 avg rating — 11 ratings
score: 95,
and
1 person voted
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22 |
Neural Networks and Deep Learning: A Textbook
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4.30 avg rating — 47 ratings
score: 94,
and
1 person voted
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23 |
Practical Neural Network Recipes in C++
by
Timothy Masters (Goodreads Author)
3.74 avg rating — 27 ratings
score: 93,
and
1 person voted
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24 |
Signal and Image Processing with Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.33 avg rating — 6 ratings
score: 92,
and
1 person voted
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25 |
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.80 avg rating — 10 ratings
score: 91,
and
1 person voted
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26 |
Neural, Novel & Hybrid Algorithms for Time Series Prediction
by
Timothy Masters (Goodreads Author)
3.73 avg rating — 11 ratings
score: 90,
and
1 person voted
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27 |
Adaptive Pattern Recognition and Neural Networks
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really liked it 4.00 avg rating — 3 ratings
score: 89,
and
1 person voted
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28 |
Fundamentals of Neural Networks: Architectures, Algorithms And Applications
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3.99 avg rating — 75 ratings
score: 88,
and
1 person voted
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29 |
Neural Network Training Using Genetic Algorithms
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liked it 3.00 avg rating — 1 rating
score: 87,
and
1 person voted
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30 |
Neural Networks: Algorithms, Applications, and Programming Techniques (Computation and Neural Systems Series)
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3.89 avg rating — 18 ratings
score: 86,
and
1 person voted
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31 |
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
by
Timothy Masters (Goodreads Author)
3.85 avg rating — 13 ratings
score: 83,
and
1 person voted
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32 |
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
by
Timothy Masters (Goodreads Author)
3.60 avg rating — 5 ratings
score: 82,
and
1 person voted
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33 |
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
by
Timothy Masters (Goodreads Author)
really liked it 4.00 avg rating — 3 ratings
score: 81,
and
1 person voted
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