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Introduction to Deep Learning and Neural Networks with Python
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Other > E-books
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80.1 MiB (83990393 Bytes)
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tuts756
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A397FA9F80906D96C82CC6D326158EF23CD591FA




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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.epub80.1 MiB
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