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

XG

Invalid date

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.

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:

2226 - 2250 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hou Y

•

May 2, 2018

This course is especially good to give me a solid understanding of building a nn workflow

By Wei H

•

Mar 3, 2018

well-organized. I can tell that Ng and the TA's spent a lot of time to make it excellent.

By Light0617

•

Jan 15, 2018

awesome!!! I have an interview and most interview questions are included in the lectures!

By Wenlong S

•

Nov 18, 2017

this is also good if you want to know detailed technique to tune your deep learning model

By Shivakshit P

•

Oct 20, 2017

An excellent follow through to the course 1 in the specialization. Couldn't ask for more!

By Ted T

•

Oct 16, 2017

I love the way Andrew teaches this course so much. Easy to get through all the key points

By Paulo A

•

Oct 7, 2017

Great course that helps you build your knowledge gradually. Andrew Ng is a great teacher.

By Lavina C

•

Oct 2, 2017

Thanks for adding assignment in TensorFlow that gives new direction to learn more into it

By Saquib M

•

Aug 24, 2017

The course is awsome. I have learn a lot specially how to think a solution for a problem.

By DDSharma

•

Nov 30, 2022

This course is packed full of many themes and ideas, invaluable insights and pragmatics.

By abhishek s

•

Aug 13, 2022

Excellent course. I loved it. More hands-on begineer freidnly exercises would be welcome

By stephane c

•

Oct 28, 2021

Definitively useful. Maybe the TensorFlow (+Keras) part is a little less well explained.

By Jolton D

•

Feb 27, 2021

Andrew NG the prodigy! Simply the best course and the best teacher to teach this course.

By Edgar O

•

Dec 5, 2020

Really nice course. I love how the concepts are explained with clarity and simplicity :)

By Gurprem S

•

Oct 10, 2020

Love the tensorflow introduction. It was fun to see how much you can do with frameworks!

By Mohamed M

•

Aug 6, 2020

Great overview for a lot of hyper parameters, regularization and optimization techniques

By RAHUL B

•

Jul 10, 2020

Once again this course is amazing and it really helps me for improving the NN. Thank you

By Abhishek P

•

May 31, 2020

Was interesting to learn some important things like tuning hyperparameter and Tensorflow

By Jorge B P

•

Mar 10, 2020

In my opinion, this is one of the most important courses of Deep Learning Specialization

By Will M

•

Feb 8, 2020

This course was difficult after being away from the material for a while, but I made it.

By Vipul S

•

Dec 20, 2019

Found no other course which deals with improving DNN in such depth and organized manner.

By André E

•

Nov 3, 2019

Thanks great!

But the slides for the downloads are not always exactly the same as shown.

By akyang

•

Jul 30, 2019

Detail explanation and programming assignment for review are really helpful. Thank you.

By Nenad S

•

Jun 5, 2019

Highly valuable insights and amazing teaching style. I will likely go back to this one.

By Rahul K

•

Jan 28, 2019

very good content on Hyperparameter tuning , regularization ,Optimization and tensorflow