糖心vlog官网观看

Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,486 ratings

About the Course

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....

Top reviews

AM

Oct 9, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filter by:

2401 - 2425 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Dana A

鈥�

Feb 3, 2019

The lectures are awesome, bu think the exercise need some more polish and more depth

By Rahul D

鈥�

Oct 27, 2018

this course gives a good knowledge about hyperparameters and tenserflow. I like it.

By Rebecca M

鈥�

Jul 5, 2018

Wish class had textbook instead of videos. Would like to keep documentation on this.

By Pranav

鈥�

Jun 14, 2018

Learned a lot of thing on neural net in this course.Excellent teaching by Andrew Ng.

By Vincent H

鈥�

Jun 11, 2018

We better understand what is behind tensorflow after following this lesson.Thank you

By DaesooLee

鈥�

Jun 8, 2018

I'm truly saying that this professor has an amazingly soft/pleasant way of teaching.

By Vladimir

鈥�

Dec 10, 2017

Brilliant course to understand Neural Networks with great practical focus!

Thank you!

By Jorge B C

鈥�

Nov 27, 2017

Very useful guidelines to achieve successful results developing Deep Neural Networks

By Wenjie L

鈥�

Nov 22, 2017

Great course! It helped me a lot about the parameter settings to train the networks.

By Sergey D

鈥�

Sep 9, 2017

袛械褌邪谢褜薪芯 褉邪蟹斜懈褉邪械褌褋褟 屑邪褌械褉懈邪谢. 袨褔械薪褜 锌芯谢械蟹薪邪褟 懈薪褎芯褉屑邪褑懈褟 泻 写芯锌芯谢薪械薪懈褞 锌械褉胁芯谐芯 泻褍褉褋邪.

By Vladimir I

鈥�

Sep 5, 2017

The information for a practitioner that Dr. Ng provides in this course is priceless.

By Chandrima C

鈥�

Aug 29, 2021

In detail explanations of every small and big concept by Prof. Andrew is the best!!

By Chandramouli S

鈥�

Sep 10, 2020

Programming assignments were too good. Very informative. Clearly explained concepts

By Jaswanth N

鈥�

May 14, 2020

Very Good course. It provides deeper knowledge on fine tuning the hyper parameters.

By Nipun S

鈥�

Apr 4, 2020

Wow this is a amazing course series. Looking forward to complete next three as well

By James R

鈥�

Jan 18, 2020

Well structured. Covers key concepts well. Overall, Great course! Well Done Andrew!

By arun

鈥�

Dec 4, 2019

Thank you Andrew NG, I felt a research type of energy after completing this course.

By Muhammad S A G M A

鈥�

Nov 20, 2019

Sir. Andrew Ng simplifies difficult topics and help you understand them. Thank you.

By Basel M

鈥�

Mar 31, 2019

Thank you 糖心vlog官网观看 I am thankful to you Andrew and all team members of this course.

By Ethan J

鈥�

Dec 28, 2018

very helpful course. Hope there could be more exercises on tuning hyper parameters.

By Michael K

鈥�

Feb 13, 2018

Great course . I like learning how to using the deeplearning frame work at the end!

By Sotnikov G

鈥�

Nov 25, 2017

Very important course to make knowledge from the first course much deeper! Awesome!

By Rick Y

鈥�

Nov 16, 2017

Great course! Really helps to further deepen your understanding of neural networks.

By Hector W

鈥�

Oct 17, 2017

Provides a very interesting set of techniques to accelerate learning on a Deep Net.