Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

4.9
星
63,507 个评分

课程概述

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

热门审阅

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

3876 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3900 个评论（共 7,286 个）

创建者 Patrick E

•

Jan 22, 2018

Very exciting and interesting material.

创建者 Arnaud G

•

Jan 10, 2018

As always with Andrew Ng, great and fun

创建者 Wisteria

•

Dec 25, 2017

Thanks for Andrew NG, very nice courses

创建者 Soumya S

•

Dec 9, 2017

Pragmatic balance of theory and hand on

创建者 Arun R

•

Nov 6, 2017

Way the content is explained in awesome

创建者 xiaoxingyu

•

Nov 5, 2017

perfect!! especially the program work!!

创建者 Sheng W

•

Sep 24, 2017

Some key points are explained very well

创建者 Stephane J

•

Aug 29, 2017

Brilliant, very clear and comprehensive

创建者 王特

•

Aug 28, 2017

学了很多调试的技巧，迫不及待找个小的项目来练手了！！！感谢Andrew Ng！

创建者 Jeff K

•

Aug 24, 2017

I love the information about TensorFlow

创建者 Eldar Š

•

Aug 18, 2017

Very interesting and useful. Thank you!

创建者 Wassim R

•

Aug 15, 2023

Thank you. Difficult but very helpfull

创建者 Above O

•

Jul 23, 2023

really great course by Andrew and Team

创建者 Andrey Z

•

Jan 6, 2022

All so clear and interesting to watch

创建者 mike l

•

Jan 1, 2022

I really learnd a lot from the course.

创建者 Parma R R

•

Dec 7, 2021

Very good course. Thank you Mr. Andrew

创建者 wayne t

•

Aug 3, 2021

very good course for beginner to study

创建者 SYEDUMAIR H

•

Apr 3, 2021

Great Course! JazakAllah From Pakistan

创建者 Md G R T

•

Jan 16, 2021

Another excellent course by Andrew Ng!

创建者 Mohsen S

•

Nov 14, 2020

I enjoy every second of this course!!!

创建者 Miguel C N

•

Oct 18, 2020

Great course, by an amazing professor!

创建者 Valerii P

•

Sep 15, 2020

Good, helpful, well designed.

Thank you

创建者 Shankar P

•

Aug 20, 2020

Excellent clarity and great intutions.

创建者 Carlos L

•

Aug 7, 2020

I loved it! Thank you for offering it!

创建者 Manmohan K

•

Jun 3, 2020

It's great but uses tensorflow 1 not 2