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

4.9
stars
63,243 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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3551 - 3575 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By John W

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Aug 23, 2020

very helpful course for me to start learning NN

By Pinninti A

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Aug 16, 2020

Excellent flow of teaching and good assignments

By Mullangi R

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Jun 6, 2020

exceptionally good , way of teaching is awesome

By Sooraj S

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May 25, 2020

This is my first study on hyperparameter tuning

By Jayesh S

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May 18, 2020

great intuition about different hyperparameters

By suyash s

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May 11, 2020

Exceptional Teaching by Andrew Ng. Thanks Alot.

By Kingsley N K K

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Mar 21, 2020

Good guideline and full of useful information.!

By Ignacio R L

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Feb 22, 2020

Great course to learn about models optimization

By Harshal D

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Dec 24, 2019

very helpful for learning improving performance

By GÖNÜL S

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Nov 24, 2019

It is really impressive and instructive course!

By Zhen T

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Nov 16, 2019

Very good clarification in lecture and homework

By Sannyii

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Nov 13, 2019

the lecture is a litte fast, but is very useful

By malte c

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Sep 3, 2019

Entertaining and insightful, always a pleasure!

By Sylvain L

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Aug 21, 2019

Excellent mix of theory and practical examples.

By JIMMYKUMAR A

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Jul 14, 2019

Great course, programming assignment was great.

By Emircan K

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Apr 25, 2019

Exceptional teaching by Andrew Ng. As always...

By Pieter J V V V

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Mar 28, 2019

Very clear explanations, well guided exercises.

By Praneet A M

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Feb 5, 2019

Great course with an excellent course structure

By dzw

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Oct 12, 2018

Very good tips on improving nn!

Love Prof. Ng!!!

By Vishal C

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Jul 19, 2018

Very helpful for me especially Tensorflow part.

By Lawrence F

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Mar 14, 2018

Andrew Ng knows how to simplify complex things.

By Javedali S

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Feb 11, 2018

Awesome Awesome .. THanks Andrew, you are best.

By zawar k

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Nov 5, 2017

it is a good course with good learning material

By Harish S

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Oct 30, 2017

This was very interesting and practical course.

By 戚跃宇

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Oct 26, 2017

I love this course ,and i love Andrew.thank you