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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

AA

Invalid date

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

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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

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4001 - 4025 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By ruchi m p

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Jun 25, 2021

Excellent !!! Very nicely explained

By Myunggwan J

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May 29, 2021

It would be greatly helpful for me!

By Fekedew H

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Oct 16, 2020

good explanation with great project

By Mohammad A H

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Sep 7, 2020

do we have better than Andrew??????

By SOHAIL I K

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Aug 25, 2020

Perfect course. I enjoyed it a lot.

By Marc-Antoine H

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Aug 13, 2020

Excellent course. Highly recommend.

By Jorge R O T

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Aug 9, 2020

very compact and full of new things

By Krithika G

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Jul 13, 2020

Thanks for such a wonderful course.

By Iuliia A

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Jul 10, 2020

The best course! I really liked it!

By Akash P

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Jul 7, 2020

Well explained with great insights!

By Smail K

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May 15, 2020

The content is an absolute delight!

By Thar H S

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Apr 23, 2020

the simplest course I had ever seen

By Ben H

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Mar 15, 2020

Very helpful and informative course

By Masoomeh G

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Jan 13, 2020

Very useful and interesting course.

By Joohong K

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Dec 16, 2019

Not I feel like I am doing some AI.

By Haoming Y

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Oct 25, 2019

Cousera 上最好的课程设计！每次上课都是享受，每次做作业都是激动

By behnoud s

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Oct 9, 2019

thanks for andrew and his co_worker

By sujitha k

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Aug 9, 2019

Made NN really easy to understand !

By Li Y

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Aug 4, 2019

This course is very helpful for me.

By Johan R

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Jun 22, 2019

Just right level and very enjoyable

By Dmitry M

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Apr 9, 2019

Excellent and understandable course

By Sidhant P

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Mar 7, 2019

It was a great learning experience.

By Y S s

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Feb 26, 2019

Thank you for this wonderful course

By Hussam K

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Feb 19, 2019

Amazing course with perfect teacher

By Thành N

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Oct 9, 2018

good. but i need more tensorflow :D