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：

4126 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4150 个评论（共 7,286 个）

创建者 罗成毅

•

May 30, 2018

I just want say, thank you a lot.

创建者 Bart W J

•

Apr 4, 2018

Pacing and structure are perfect.

创建者 Yunfei D

•

Mar 5, 2018

I learned a lot from this course.

创建者 TengfeiShen

•

Feb 1, 2018

本课程非常棒，从中学到了很多关于深度学习的知识，对于入门的获益匪浅

创建者 Lin Z

•

Dec 8, 2017

best and most practical DL course

创建者 Jojo J M

•

Nov 21, 2017

An extremely well drafted course!

创建者 Sagar M

•

Nov 19, 2017

Great course. Explains very well.

创建者 Beno P

•

Nov 19, 2017

Great course for beginner like me

创建者 yuan j

•

Nov 14, 2017

very good courses, help me a lot!

创建者 Abhijeet s

•

Oct 2, 2017

Oh tensor flow is a great help !!

创建者 Summer Y

•

Sep 23, 2017

Good and practical introductions.

创建者 DJONA

•

Aug 18, 2017

Great course with practical tools

创建者 Syed I M

•

Jul 18, 2024

It was great learning experience

创建者 Wanmeng R

•

Dec 30, 2022

very intuitive and comprehensive

创建者 Badie T

•

Oct 17, 2022

Very interesting personalities.

创建者 ASHISH L

•

Apr 24, 2022

well taught and very imformative

创建者 Dmitrii P

•

Apr 11, 2022

The Horse from Week2 is amazing!

创建者 Sajjad u h

•

Dec 20, 2020

Greatly Buidl and managed Course

创建者 Mukesh G

•

Dec 1, 2020

I believe its a very good course

创建者 Neel K

•

Oct 19, 2020

Great explanation for TensorFlow

创建者 Yaroslav K

•

Sep 25, 2020

Great course. A lot of insights!

创建者 Mariana M

•

Sep 20, 2020

Excellent exercises and lectures

创建者 Bin L

•

Sep 1, 2020

深度学习框架TensorFlow是1.0版本，有点老，其余都很好

创建者 Dr.G.Narender

•

Aug 24, 2020

course by andrew ng is excellent

创建者 Reema G I

•

Aug 20, 2020

Amazing explanation by Andrew NG