Introduction to Deep Learning and Neural Networks with PythonT

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Verlag: Elsevier Science & Technology
Autor: Ahmed Fawzy Gad
Artikel-Nr.: KNV96382179
ISBN: 9780323909334

Introduction to Deep Learning and Neural Networks with PythonT: A Practical Guide is an... mehr

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Introduction to Deep Learning and Neural Networks with PythonT: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and PythonT code examples to clarify neural network calculations, by book's end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and PythonT examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.

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