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Juk
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Artificial Neural Networks and Deep Learning
(20 Books)
1
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
by
Russell D. Reed
3.63 avg rating — 19 ratings
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2
BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
by
Christopher M. Bishop
4.11 avg rating — 171 ratings
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3
Neural and Adaptive Systems: Fundamentals through Simulations
by
José C. Principe
3.40 avg rating — 10 ratings
Juk rated it 4 stars
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4
Neural Networks and Deep Learning
by
Michael Nielsen
(Goodreads Author)
4.58 avg rating — 457 ratings
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5
Neural Networks: A Systematic Introduction
by
Raul Rojas
3.65 avg rating — 20 ratings
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6
Deep Learning (Adaptive Computation and Machine Learning series)
by
Ian Goodfellow
4.44 avg rating — 2,113 ratings
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7
Neural Networks and Deep Learning: A Textbook
by
Charu C. Aggarwal
4.31 avg rating — 48 ratings
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8
Practical Neural Network Recipes in C++
by
Timothy Masters
(Goodreads Author)
3.74 avg rating — 27 ratings
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9
Signal and Image Processing with Neural Networks: A C++ Sourcebook
by
Timothy Masters
(Goodreads Author)
3.33 avg rating — 6 ratings
Juk rated it 3 stars
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10
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
Timothy Masters
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3.80 avg rating — 10 ratings
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11
Neural, Novel & Hybrid Algorithms for Time Series Prediction
by
Timothy Masters
(Goodreads Author)
3.73 avg rating — 11 ratings
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12
Adaptive Pattern Recognition and Neural Networks
by
Yoh-Han Pao
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4.00 avg rating — 3 ratings
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13
Fundamentals of Neural Networks: Architectures, Algorithms And Applications
by
Laurene V. Fausett
3.99 avg rating — 76 ratings
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14
Neural Network Training Using Genetic Algorithms
by
Lakhmi C Jain
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3.00 avg rating — 1 rating
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15
Neural Networks: Algorithms, Applications, and Programming Techniques (Computation and Neural Systems Series)
by
James A. Freeman
3.89 avg rating — 18 ratings
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16
Deep Learning, Vol. 1: From Basics to Practice
by
Andrew Glassner
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4.00 avg rating — 17 ratings
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Deep Learning, Vol. 2: From Basics to Practice
by
Andrew Glassner
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4.00 avg rating — 15 ratings
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18
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
by
Timothy Masters
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3.85 avg rating — 13 ratings
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19
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
by
Timothy Masters
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3.60 avg rating — 5 ratings
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20
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
by
Timothy Masters
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4.00 avg rating — 3 ratings
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