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
63,068 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

NC

Invalid date

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

YL

Invalid date

very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

Filter by:

5026 - 5050 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jurgen R

•

Dec 22, 2017

Awesome course!

By Andrii L

•

Dec 12, 2017

Awesome course!

By Jeff X

•

Dec 6, 2017

终于学懂了！多谢Andrew！

By Ruoying X

•

Nov 19, 2017

Very intuitive!

By lixiang

•

Nov 17, 2017

very wonderful!

By SWARUP K G

•

Nov 16, 2017

A great course.

By Christina Y

•

Nov 15, 2017

Awesome course!

By Juan D

•

Nov 13, 2017

Excelente curso

By Stoyan A

•

Nov 1, 2017

Great material.

By 刘竞博

•

Oct 29, 2017

could be useful

By Rashid A

•

Oct 29, 2017

Awesome course!

By Siddhartha J

•

Oct 27, 2017

Great course !!

By jocundhang

•

Oct 15, 2017

对提高模型的正确率有很大的帮助

By Ripunjoy G

•

Oct 11, 2017

Great teaching.

By 小林Andy

•

Oct 6, 2017

介绍了很多新的知识，非常有帮助

By Limber

•

Sep 28, 2017

Really helpful.

By Paddy M

•

Sep 17, 2017

Very practical.

By Gowri S

•

Sep 9, 2017

Awesome Course.

By Ce J

•

Sep 5, 2017

really helpful~

By Xuan L

•

Aug 25, 2017

Great tutorial!

By Zhi H

•

Aug 20, 2017

very practical!

By Jia Y

•

Aug 14, 2017

Very good MOOC!

By Randal E

•

Jul 7, 2023

knowledge good

By Areeg F

•

Jan 17, 2023

awesomeeeeeeee

By Arkan N

•

Sep 30, 2022

great course!