Angular and Deep Learning Pocket Primer
Campesato, Oswald
Angular and Deep Learning Pocket Primer ['Campesato, Oswald'] - p.
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included.FEATURES:Introduces basic deep learning concepts and Angular 10 applicationsCovers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks)Introduces TensorFlow 2 and KerasIncludes companion files with source code and 4-color figures.The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.
9781683924715
Angular and Deep Learning Pocket Primer ['Campesato, Oswald'] - p.
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included.FEATURES:Introduces basic deep learning concepts and Angular 10 applicationsCovers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks)Introduces TensorFlow 2 and KerasIncludes companion files with source code and 4-color figures.The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.
9781683924715
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