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Neural Networks Easy Guide by Thomas Laurie (15 results)
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Term (Paperback or Softback)
Published by Tyson Maxwell 12/27/2022, 2022
ISBN 10: 177526727X ISBN 13: 9781775267270
Language: English
Paperback or Softback. Condition: New. Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Term 0.43. Book.
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Terms)
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Terms)
Published by Tyson Maxwell 2022-12, 2022
ISBN 10: 177526727X ISBN 13: 9781775267270
Language: English
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Terms)
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Terms)
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Neural Networks: Easy Guide to Artificial Neural Networks (Artificial Intelligence and Neural Network Concepts Explained in Simple Terms)
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like mnist.In this course we are going to up the ante and look at the streetview house number (svhn) dataset - which uses larger color images at various angles - so things are going to get tougher both computationally and in terms of the difficulty of the classification task. Benefits of reading this book that you're not going to find anywhere else:Introduction to neural networks Structures of neural networks Building a neural network The construction of artificial neurons The biological neurons model How they work The capabilities of neural network structure Organizing your network Deep learning is a new concept that has emerged since the 2000s. While deep learning is new to it, this is not the case with artificial neural networks, a concept on which deep learning is based. We hear about the first artificial neuron in 1943 when warren mcculloch and walterpitts published their first mathematical and computer model of the biological neuron: the formal neuron. The formal neuron is directly inspired by the biological neuron.
