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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

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

XG

Oct 30, 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.

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1426 - 1450 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Pedro F

Mar 23, 2019

Easy understand in a very complex deep learning techniques. Professor Andrew transmits his deep knowledges in a clear and simple way

By PULKIT V

Oct 27, 2018

I am learning a lot as I am progressing. Great content and none other than Andrew Ng can teach complex algorithms in such a easy way

By Bruce X

Jul 26, 2022

This is a pretty informative course. However, Prof. Andrew Ng provides plenty of intuitions behind the scene which is very helpful.

By Lambertus d G

Oct 17, 2020

Great course, clear instructions. I managed to keep up even though it has been a long time ago that I used Calculus. Thanks Andrew!

By Enrique C

May 26, 2020

Curso muito bom como sempre. Rumo a ser um bom especialista em Deep Learning. Um muito obrigado ao Andrew por me proporcionar isso!

By Ranjeet K

May 1, 2020

Thanks a lot to Andrew Ng for explaining each and everything so nicely and the assignments are adding a lot of value to the course.

By Xinqi F

Sep 30, 2019

Excellent Course with excellent programming exercises. The programming helps me a lot to gain a better understanding of the course!

By Pankaj S

Aug 11, 2019

This is the exception course offered by Andrew Ng and his team. Very deep insights of deep learning are demonstrated and explained.

By Pranav K

Jul 28, 2019

I learnt a lot through this course and i really thank andrew sir from from the bottom of my heart for teaching me all these things.

By Zebin C

May 18, 2019

In this course, I learned a lot about deep learning skills. These skills have greatly accelerated the progress of my research work.

By Lydia N

Mar 30, 2019

Learning can be so much fun!!! I like to read the book Deep Learning by Ian Goodfellow and Yoshua Bengio for additional support :-)

By Kavita G

Dec 19, 2018

Some of the details of the hyperparameters I wasn't aware and didnt realize the impact until I went through this course. Thank you.

By Damian C

Mar 1, 2018

I enjoyed a lot this 3rd part of the course. Many thanks to Professor Ng and his team for making this possible. Keep the good work!

By Donovan F

Feb 1, 2018

Fantastic course! Wish my university offered this. My only suggestion in to introduce TensorBoard inputs into the last of Week 3.

By Asif M

Dec 22, 2017

I really enjoyed this course. Material is explained in a very simple and straightforward manner. Tensor flow tutorial is excellent.

By Manish J

Dec 5, 2017

Excellent course and explanations on fundamental concepts for improving deep neural networks. Excellent introduction to TensorFlow.

By 李俊宏

Sep 20, 2017

Andrew is a very talented teacher with a nice dream. From these lessons I can clearly see that help others succeed makes him happy!

By Raghusrinivasan J V

Jun 21, 2021

It was a really great experience to learn something new and apply these learnings and knowledge in projects and real life problem.

By Johnny V

Sep 29, 2020

This course was amazing! In combination with the first course, you can understrand how deep learning works and it is so beautiful.

By Vishnu N

Aug 6, 2020

This is a very good course on understanding how to tune the Hyperparameters, Optimizers.

I thank Andrew Ng for this amazing course.

By Harish K B

Jul 4, 2020

Great course. Got a deep induction on regularization, hyperparameter significance and its optimization techniques. Love u Adrew Ng

By Suchitha L D

May 13, 2020

Gives good intuition regarding various hyperparameters and optimization techniques as well as and practical approaches to optimize

By Prashant M

Feb 4, 2020

A very nice course explaining the details of hyperparameter tuning. Thanks to Coursera and Andrew Sir for such a wonderful course.

By Kangshitao

Nov 28, 2019

After studying this course, I learned some optimization algorithms and how to tune hyperparameters, and I learned about tensorflow

By Brayan I

Nov 20, 2019

Incredibly useful tips and tricks about the most frequently used techniques for improving the performance of deep neural networks.