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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,325 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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3476 - 3500 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Chao ( Z

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Jan 15, 2018

Helpful and time-saving to get hang of this stuff.

By JUNGHOON C

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Nov 19, 2017

Quite difficult session but very meaningful course

By Krzysztof R

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Nov 14, 2017

Excellent, practically oriented course. Thank you!

By AlfredO

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Oct 25, 2017

Very well presented and the assignments are great.

By Ariel S

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Oct 4, 2017

Excellent course! Thanks to instructors and staff!

By Arushi A

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Oct 2, 2017

The pace and content of the course is brilliant :)

By Prakash C C

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Sep 22, 2017

Worth Studying. Very useful for practical insights

By Yixing Z

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Sep 14, 2017

Thanks Andrew and your team, really help me a lot!

By Clément N

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Jul 15, 2023

Excellent course! Prof Ng, is such a good teacher

By Włodzimierz J

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Jun 8, 2021

Good course. Nice mix of knowledge and exercises.

By 胡泽天

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Nov 22, 2020

So glad I can learn so many frameworks operations

By Fuad A

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Oct 10, 2020

It's a pretty interesting and well taught course.

By VADDANAM G

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Sep 11, 2020

Very well - taught by Andrew, thank you coursera.

By Derek L

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May 5, 2020

Great course to learn optimization of ML models!!

By 翁浩瀚

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May 4, 2020

it is very nice for the beginners in deep learnig

By Navdeep S H

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Apr 29, 2020

This Course is very helpful in improving my model

By Reem

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Apr 24, 2020

Valuable tips and insights throughout the course.

By kArThIk T

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Apr 10, 2020

I Need to revisit to get some solid understanding

By MIGUEL A Z G

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Jan 21, 2020

Great course! I'm very happy with the methodology

By Abhinav M

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Sep 9, 2019

I was a very good experience learning this course

By Viona Q

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Aug 20, 2019

Great course. Machine learning concepts made easy

By Jay T

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Jul 21, 2019

Excellent Course to strengthen your core concepts

By Jamil H

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Jul 11, 2019

A very good course with implementation techniques

By Hao L

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Jun 8, 2019

Really helpful! Keep on with the next course now!

By Terry P

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Jan 24, 2019

Very good course and well timed with great ideas.