Название: Neural Networks with jаvascript Succinctly
Автор: James McCaffrey
Издательство: Syncfusion
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 163
Размер: 10 Mb
Язык: English

James McCaffrey leads you through the fundamental concepts of neural networks, including their architecture, input-output, tanh and softmax activation, back-propagation, error and accuracy, normalization and encoding, and model interpretation. Although most concepts are relatively simple, there are many of them, and they interact with each other in unobvious ways, which is a major challenge of neural networks. But you can learn all important neural network concepts by running and examining the code in Neural Networks with jаvascript Succinctly, with complete example programs for the three major types of neural network problems.