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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

YL

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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.

NC

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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.

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1476 - 1500 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rajwardhan S

Dec 8, 2019

Great Course Theory wise full marks but I think some more practicals would have been a great but still great learning experience

By Nitin B

May 26, 2019

All concepts are explained in detail. This course is extremely useful and highly recommended for everyone in this field. Thanks.

By Juan U

Sep 9, 2018

Awesome course, i loved being able to learn tensorFlow and many other things i didn't imagine i would learn. Totally recommended

By Piyush J

Jan 22, 2018

Great explanation of internal workings of various optimizers and parameter tuning. Good introduction to tensorflow framework too

By Tyler K

Dec 10, 2017

Really awesome class, had a great time and I am already making use of the lessons learned. Exceptional work again Professor Ng!

By Artem

Nov 14, 2017

Very good course for beginners in Deep Learning area! I really appreciate Prof. Andrew Ng and his team who prepared the course.

By Ioannis “ K

Sep 28, 2017

Great in-depth approach with really helpful coding instructions/jupyter-notebooks and simple explanations in the video lectures.

By Muhammad I

Jan 14, 2021

Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors

By Deleted A

Jul 31, 2020

Thanks Andrew for clear and structured explanation! It's wonderful to follow the concepts of Deep Leanning with your courses :)

By Adithya N

Jul 27, 2020

The course has been really insightful and covers a wide range of topics that isnt normally seen when compared to other courses.

By Shantanu J

Jul 13, 2020

Excellent introduction to regularization, hyperparameter tuning, and improvements upon classical gradient descent optimization.

By Sandipan M

Jul 10, 2020

There are very few courses which take so much care of you. I am getting more and more interest in Neural networks. Thank you !!

By Iferroudjene M

Jun 11, 2020

Loved it , thank you for this great opportunity to learn about Hyperparameter Tuning intuition and application using TensorFlow

By Mohamed M K

May 27, 2020

Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!

By milo h

Feb 19, 2020

Andrew's courses are always perfect. Sophisticated things are explained in really simple manner. Thank you, I had a lot of fun!

By Yan L

Jan 13, 2020

Inspiring and clear lectures, well designed programming assignments! The quizzes are very nice way to review materials as well!

By Saqlain H S

Jan 2, 2020

Andrew has been a great teacher in the field of machine learning. I love the way he teaches and help us understand great ideas.

By Sherif M

Mar 29, 2019

Great as always especially the notebooks appear more mature now and are educational by themselves.

Great job by Andrew and team!

By Utkarsh G

Dec 15, 2018

I would highly recommend to learn from the deeplearning.ai specialization courses if you are new to the field of deep learning.

By Sharvil G

Nov 4, 2018

Seeing the things actually work is really great. Helps a lot. Really amused by the different techniques to improve performance.

By Bourget R

Oct 3, 2018

Very good course, but the batch normalization part was quite heavy compared to other parts. Always very good teaching from M.Ng

By Lu J

Mar 22, 2018

excellent course,Professor Ng is really a great teacher who could explain a complicated theory in a way that easy to understand

By Saurav J

Sep 22, 2017

Excellent course content coupled with relevant course exercises which focused on applied and research aspects of Deep learning.

By Quentin T

Aug 24, 2017

Very useful course and well organized. I definitely feel more confident in Deep Learning optimization after taking this course.

By Pratik M

Aug 12, 2020

This course really helped me understand the optimizers that we use and hyperparameters that we set while coding in tensorflow.