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Artificial Neural Networks with TensorFlow 2

ANN Architecture Machine Learning Projects

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Éditeur :

Apress


Paru le : 2020-11-20



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Description
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.


After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. 


This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are. 



What You'll Learn
Develop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transfer
Who This Book Is For



Beginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.
Pages
726 pages
Collection
n.c
Parution
2020-11-20
Marque
Apress
EAN papier
9781484261491
EAN PDF
9781484261507
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
72
Taille du fichier
14336 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
66,05 €
EAN EPUB
9781484261507
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
72
Taille du fichier
14469 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
66,05 €

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