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
63,325 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 8, 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

Filter by:

3451 - 3475 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Gustavo R T

•

May 16, 2020

Excellent material, well organized, great teacher!

By Mohammed Z M

•

Apr 15, 2020

great course wrt deep learning and bright content.

By 王浩

•

Mar 1, 2020

Thanks for devoting such a precious course online!

By Abdelrahman M

•

Feb 23, 2020

Very useful course cannot wait to take the 3rd one

By Agniteja r

•

Oct 2, 2019

Covers optimization algorithms which are new to me

By ipsita s

•

Sep 29, 2019

Very informative course Kudos to deep learning AI.

By Aniket N M

•

Aug 2, 2019

Awesome course. Learnt what is taught nowhere else

By Nilesh M

•

Jun 21, 2019

Excellent course and very well explained by Andrew

By Aditya V S

•

Jun 18, 2019

This course has got more content than I asked for.

By Yonathan C

•

Jun 10, 2019

i am so happy and grateful for taking this course.

By ujjawal g

•

Jun 8, 2019

amazing course, great explanation of all concepts.

By WU H

•

May 20, 2019

If we can download the dataset, it will be better~

By Ravi S

•

Apr 8, 2019

Provided a lot of intuitions and practical advice.

By Bin P

•

Apr 4, 2019

Mathematical explanation of optimization concepts.

By Changik C

•

Mar 19, 2019

Just like all other Professor Andrew's class, best

By Jimut B P

•

Feb 28, 2019

Just awesome course! Never learned so well before.

By Yash G

•

Nov 29, 2018

Amazing course gives useful insights for training!

By Mohd. F I S

•

Nov 15, 2018

Great professor Andrew is simply awesome as always

By Nagadeepa S

•

Nov 13, 2018

Very easy to follow instructions. Great learning.!

By Mahesh p

•

Jun 18, 2018

Good course and learned deep learning optimization

By ANKAN B

•

May 30, 2018

Amazing Course and will complete rest courses too.

By Joseph F

•

May 24, 2018

Step by step about essential work of deep learning

By Ankur N

•

Apr 7, 2018

Best course for Deep learning tuning, optimization

By Sukegon

•

Mar 6, 2018

I can get lots of intuition! Thank you very much!

By Jianbin L

•

Jan 16, 2018

not enough assignments, but nice and simple enough