Deep Learning in Practice
实践中的深度学习
人工智能售 价：
￥
855.00
发货周期：国外库房发货,通常付款后3-5周到货！
作 者
出 版 社
出版时间
2021年07月15日
装 帧
精装
页 码
192
开 本
0 x 0 x 0 cm
语 种
英文
综合评分
暂无评分
- 图书详情
- 目次
- 买家须知
- 书评（0）
- 权威书评（0）
图书简介
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features:Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL network’s parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.
本书暂无推荐
本书暂无推荐
看了又看
- 上一个
