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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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4151 - 4175 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ravi V

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Apr 11, 2018

Thank you very well done indeed!

By Dmitry A

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Mar 26, 2018

Excellent! I have learned a lot!

By Kazuko H

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Feb 12, 2018

great course! Thank you so much.

By Katarzyna P

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Feb 2, 2018

excellent as always with Mr Ng:)

By 极速小蝌蚪

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Dec 25, 2017

wonderful class for deeplearning

By DUTENGJIE

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Nov 19, 2017

老师上课非常耐心同时富有激情，配套的测验题和编程练习都很容易上手

By vishwanathan r

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Oct 29, 2017

A great continuation to course 1

By Alex M

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Oct 8, 2017

The best course among all others

By Felix H

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Oct 5, 2017

Informative, Concise, Practical.

By shihiko

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Oct 1, 2017

I enjoyed this course very much.

By 王卓

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Aug 27, 2017

Excellent course! keep learning!

By Abdillah F

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Nov 10, 2020

The best deep learning course!!

By Dirk P

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Nov 8, 2020

Great pedagogical introduction!

By Sanket K

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Oct 14, 2020

Excellent Course Well organized

By purvak p

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Oct 10, 2020

Good content. Nice explanation.

By christson h

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Sep 24, 2020

Thank You for Such Great Course

By aseel .

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Sep 10, 2020

thanks for this valuable course

By ROHIT R K

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Aug 29, 2020

Excellent course to start with.

By Paul R

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Aug 24, 2020

Concise, but very to the point.

By Ajay G

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Jun 6, 2020

Excellent teaching methodology.

By Bhaskar J D

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May 25, 2020

Excellent Content to understand

By Dr. V V R M R

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May 7, 2020

very good inputs for TensorFlow

By Edward M

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Dec 22, 2019

Another great Andrew Ng course!

By MURALITHARAN S

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Dec 13, 2019

Nice Work, Good Learning For me

By 楊惇昱

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Nov 8, 2019

Thank you. It's a great course.