Applied Deep Learning:A Case-Based Approach to Understanding Deep Neural Networks

Applied Deep Learning:A Case-Based Approach to Understanding Deep Neural Networks
by:Umberto Michelucci
ISBN-10 书号:1484237897
ISBN-13 书号:9781484237892
Edition 版次:1st ed.
Release Finelybook 出版日期:2018-09-08
pages 页数:410


Book Description
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.
The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions.
Applied Deep Learning also discusses how to implement logistic regression completely from scratch without using any Python library except NumPy, to let you appreciate how libraries such as TensorFlow allow quick and efficient experiments. Case studies for each method are included to put into practice all theoretical information. You’ll discover tips and tricks for writing optimized Python code (for example vectorizing loops with NumPy).
What You Will Learn
Implement advanced techniques in the right way in Python and TensorFlow
Debug and optimize advanced methods (such as dropout and regularization)
Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on)
Set up a machine learning project focused on deep learning on a complex dataset
Who This Book Is For
Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.

隐藏内容1积分,请先!没有帐号? 注 册 一个!
赞(1) 觉得文章有用就打赏一下
未经允许不得转载:finelybook » Applied Deep Learning:A Case-Based Approach to Understanding Deep Neural Networks

评论 下载问题及网盘链接失效反馈!

评论前必须登录!

觉得文章有用就打赏一下

支付宝扫一扫打赏

微信扫一扫打赏