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

4.9
stars
63,515 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

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

AA

Oct 23, 2017

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

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3476 - 3500 of 7,288 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By ANKAN B

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May 31, 2018

Amazing Course and will complete rest courses too.

By Joseph F

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May 24, 2018

Step by step about essential work of deep learning

By Ankur N

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Apr 7, 2018

Best course for Deep learning tuning, optimization

By Sukegon

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Mar 6, 2018

I can get lots of intuition! Thank you very much!

By Jianbin L

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Jan 17, 2018

not enough assignments, but nice and simple enough

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 20, 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 26, 2017

Very well presented and the assignments are great.

By Ariel S

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Oct 5, 2017

Excellent course! Thanks to instructors and staff!

By Arushi A

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Oct 3, 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 15, 2017

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

By Clément N

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Jul 16, 2023

Excellent course! Prof Ng, is such a good teacher

By Włodzimierz J

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Jun 9, 2021

Good course. Nice mix of knowledge and exercises.

By 胡泽天

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Nov 23, 2020

So glad I can learn so many frameworks operations

By Fuad A

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Oct 11, 2020

It's a pretty interesting and well taught course.

By VADDANAM G

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Sep 12, 2020

Very well - taught by Andrew, thank you coursera.

By Derek L

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May 6, 2020

Great course to learn optimization of ML models!!

By 翁浩瀚

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May 5, 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 25, 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 22, 2020

Great course! I'm very happy with the methodology

By Abhinav M

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Sep 10, 2019

I was a very good experience learning this course