Название: Deep Learning with TensorFlow and KerasАвтор: Derrick Mwiti
Издательство: Leanpub
Год: 2022-10-03
Страниц: 354
Язык: английский
Формат: pdf (true), epub
Размер: 39.9 MB
Build Deep Learning applications with Keras and TensorFlow. Topics covered include Convolutional Neural networks, Recurrent Neural Networks, TensorBoard, Transfer learning, custom training loops, and Keras Functional API. Deep Learning (DL) is a branch of Machine Learning (ML) that involves building networks that try to mimic the working of the human brain. The dendrite in the human brain represents the input to the network, while the axion terminals represent the output. The cell is where computation would take place before we get the output. TensorFlow is an open-source Deep Learning framework that enables us to design and train Deep Learning networks.
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