Introduction to Deep Learning and Neural Networks with Python
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Description
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ 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 Python™ 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.
Examines the practical side of deep learning and neural networks
Provides a problem-based approach to building artificial neural networks using real data
Describes Python™ functions and features for neuroscientists
Uses a careful tutorial approach to describe implementation of neural networks in Python™
Features math and code examples (via companion website) with helpful instructions for easy implementation
Book Details
Language: English
Published: 2020
ASIN: B08P75B9C4
Format: True EPUB
| Introduction to Deep Learning and Neural Networks with Python - A Practical Guide/Introduction to Deep Learning and Neural Networks with Python - A Practical Guide.epub | 80.1 MiB |
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| Introduction to Deep Learning and Neural Networks with Python - A Practical Guide/BookRAR.net.txt | 71 B |
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