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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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4301 - 4325 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Guillermo F

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Feb 15, 2019

Excellent course, thank you!

By Pruthvi R R G

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Jan 27, 2019

Superb Course for beginners!

By Zhiliang W

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Jan 25, 2019

Great lectues and exercises!

By Chethan K

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Jun 10, 2018

Best course in this segment.

By Mihai-Florin A

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May 5, 2018

Excellent course, as always!

By awesyang

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Mar 31, 2018

Great course! Thanks Andrew!

By Vaibhav K

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Mar 16, 2018

Great course to be a part of

By SUN H

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Feb 24, 2018

Very interesting and helpful

By Priyanka K

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Jan 16, 2018

Thank you sir for the course

By Vishal K

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Nov 29, 2017

Goood course - learnt a lot!

By Saibal D

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Nov 21, 2017

Good learning experience !!!

By Sreejith S

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Oct 2, 2017

Nice course. Thanks Anderw!

By Kunkyu L

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Sep 6, 2017

Good to tune hyperparameters

By XUAN T P

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Sep 4, 2017

As great as the first course

By Yunxiang L

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Sep 3, 2017

给我带来了很大的提高，对于深度学习的理解更加透彻，感谢！

By Clarence W

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Sep 2, 2017

该系列课程的第二部分，对神经网络超参的讲解，非常有价值！

By FEI Z

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Aug 31, 2017

Great course as the 1st one!

By zios s

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Aug 23, 2017

awesome Course

Great teacher

By Yonah M

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Jan 17, 2022

I had a great time learning

By Ba L

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Oct 2, 2021

Prof.Andrew NG is the best!

By Arya

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Sep 11, 2021

Brilliant course. Loved it!

By Hoang D

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Aug 30, 2021

So really helpful and great

By Luke L

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Jul 21, 2021

Great, I have learnt a lot!

By Rodrigo N S

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Feb 2, 2021

Terrific. Highly recommend.

By sujit s

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Jan 30, 2021

The course well structured.