Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

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You Will Learn About

Artificial NeuronArtificial Neuron

Perceptron and other artificial neurons

They are the fundamental building blocks of deep neural networks that have enabled the DL revolution.

Dataset NetworkDataset Network

Fully connected feedforward networks and convolutional networks

You will apply these networks to solve practical problems, such as predicting housing prices based on a large number of variables or identifying to which category an image belongs.

Network TranslatorNetwork Translator

Ways to represent words from a natural language using an encoding

Encoding captures some of the semantics of the encoded words. Encodings are used together with a recurrent neural network to create a neural-based natural language translator. This translator can automatically translate simple sentences from English to French or other similar languages.

Image Caption NetworkImage Caption Network

Building an image-captioning network

Networks that combines image and language processing. This network takes an image as an input and automatically generates a natural language description of the image.

Publisher ‏ : ‎ Addison-Wesley Professional
Publication date ‏ : ‎ August 17, 2021
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 752 pages
ISBN-10 ‏ : ‎ 0137470355
ISBN-13 ‏ : ‎ 978-0137470358
Item Weight ‏ : ‎ 2.15 pounds
Dimensions ‏ : ‎ 7.3 x 1.1 x 9 inches

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