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Neural Networks

Name: Neural Networks
Brand: Tyson Maxwell
SKU: 42760535
Price: 334 CZK
Availability: InStock
Author: Laurie Thomas
ISBN: 9781775267270

Laurie Thomas

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 42760535

Nakladatelství Tyson Maxwell, prosinec 2022

This book is all about how to use deep learning for computer vision using convolutional neural netwo... Celý popis

Libristo kód: 42760535

33 b

334 Kč

Skladem u dodavatele Odesíláme za 14-21 dnů

Až 30 dní na vrácení zboží

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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.