Deep learning by example: a hands-on guide to implementing advanced machine learning algorithms and neural networks

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Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision, language processing, and other real-world problems.

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Title Statements

Full title :Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks / Ahmed Menshawy.

Summary

Edition Statements

Publication Date:©2018

Publication Statements

Publisher(s):Packt Publishing Ltd
Place of Publication:Birmingham
Language:eng
Publication Date:©2018

Notes

Index.

The Physical Object

Description:ix, 432 pàgines : : il·lustracions ; : 24 cm

Edition Identifiers

ISBN:1788399900, 9781788399906
oclc:on1120513993
LC Classification:Q325.5

Conté: "Ch. 1: Data Science -- A bird's eye view -- Ch.2: Data Modeling in Action -- the Titanic example -- Ch.3: Feature Engineering and Model Complexity -- the Titanic example revisited -- Ch.4: Get Up and Running with TensorFlow -- Ch.5: TensorFlow in Action -- some basic examples -- Ch.6: Deep Feed-forward Neural Networks -- implementing digit classification -- Ch.7: Introduction to Convolutional Neura Networks -- Ch.8: Object Detection -- CIFAR-10 example -- Ch.9: Object Detection -- transfer learning with CNNs -- Ch.10: Recurrent-Type Neural Networks -- language modeling -- Ch.11: Representation Learning -- implementing word embeddings -- Ch.12: Neural Sentiment Analysis -- Ch.13: Autoencoders -- feature extraction and denoising -- Ch.14: Generative Adversarial Networks -- Ch.15: Face Generation and Handling Missing Labels" -- OCLC