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
63,175 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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

Filter by:

2651 - 2675 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Peizheng L

•

Apr 20, 2020

这门课程给我带来了很大的帮助，不像很多的DL课程从理论入手，比较枯燥晦涩，这门课讲解深入浅出，可以给初学者非常直观的感受，是一门很棒的DL入门课程。

By Aehsas M

•

Apr 11, 2020

This was a great experience. Learned a lot. Thank you for this opportunity

By Surga K G

•

Mar 24, 2020

Really good and clear explanation of concepts and thanks to Andrew NG sir

By Ankit S

•

Jul 2, 2019

excellent course

gives best experience for the practical as well as theory

By Daniel C A

•

May 20, 2019

Great course with a lot of hand-on exercises... Great TensorFlow module...

By ZengChun Y

•

Mar 31, 2019

Thank you Andrew. This course does help me learn more about deep learning!

By Muhammad H B K

•

Mar 30, 2019

Was an amazing course. There are few mistakes in final exercise of week 3.

By Toi D V

•

Mar 15, 2019

It's very useful with great insight on how to improve Deep Neural Networks

By Sathish K G

•

Mar 12, 2019

I like tensor flow assignment very much.

Overall the learning is very good.

By sai p j

•

Mar 3, 2019

Great course on Deep Learning. Thank you very much Andrew NG and Coursera.

By Yash S

•

Feb 7, 2019

i think the systematic method for hyperparameter tuning was the best part!

By Patrick M

•

Jan 29, 2019

Thank you so much for this course. It's been really insightful and helpful

By Aravind D C

•

Jan 28, 2019

Very good course to understand the nuts and bolts behind the deep learning

By Juilee D

•

Jan 20, 2019

very elegant course, with nicely structured assignments and study material

By Mubashar N A

•

Dec 23, 2018

improved my knowledge and thinking abilities about hyperparameters tunning

By Sanjif R

•

Nov 9, 2018

Very helpful in understanding how to tune networks to improve performance.

By Yuzhe Q

•

Aug 14, 2018

This course is valuable for my implementation of deep learning algorithm!

By Hang J

•

Jul 29, 2018

The practice are super helpful to my understanding of the mathy materials.

By Andres S

•

Mar 18, 2018

Great course. Had to wait until the end for the best part with Tensorflow.

By Animesh B

•

Feb 17, 2018

This course is better than the previous ones.. So much to learn from this!

By Kaihua T

•

Nov 23, 2017

As a master student major in computer science, this course helps me a lot.

By John H

•

Nov 12, 2017

Great nuanced information that is not covered well in many online courses.

By Zhang B

•

Nov 7, 2017

Hyperparameter tuning is a useful to for optimization of machine learning.

By Diego M

•

Nov 5, 2017

Great like the rest of the specialization - Also great intro to TensorFlow

By selim ö

•

Nov 2, 2017

The course helped me to learn a lot. I am grateful for the course. Thanks.