Angular and Deep Learning Pocket Primer
暫譯: Angular 與深度學習口袋指南

Campesato, Oswald

  • 出版商: Mercury Learning & Information
  • 出版日期: 2020-11-30
  • 售價: $1,650
  • 貴賓價: 9.5$1,568
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1683924738
  • ISBN-13: 9781683924739
  • 相關分類: AngularDeepLearning
  • 海外代購書籍(需單獨結帳)

商品描述

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 applications
  • Covers 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 Keras
  • Includes companion files with source code and 4-color figures.

商品描述(中文翻譯)

作為暢銷書系列《Pocket Primer》的其中一本,本書旨在向讀者介紹基本的深度學習概念,並將這些知識應用於 Angular 10 應用程式中。它旨在快速介紹深度學習的一些基本特徵,以及幾種流行的深度學習分類器的概述。本書包含程式碼範例和多個圖示,涵蓋 Angular 10 功能、基本深度學習概念、分類演算法、TensorFlow 和 Keras 等主題。隨書附有包含程式碼和彩色圖示的伴隨檔案。

**特色:**
- 介紹基本的深度學習概念和 Angular 10 應用程式
- 涵蓋 MLP(多層感知器)、CNN(卷積神經網路)、RNN(遞迴神經網路)、LSTM(長短期記憶)、GRU(門控遞迴單元)、自編碼器和 GAN(生成對抗網路)
- 介紹 TensorFlow 2 和 Keras
- 包含伴隨檔案,內含原始碼和四色圖示。