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

4.9
stars
63,068 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

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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2376 - 2400 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Devraj A

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Oct 20, 2017

This course is very well designed and provides a comprehensive review of the subject.

By Grant H

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Sep 24, 2017

As good as the first course in the specialization, Neural Networks and Deep Learning.

By 李培春

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Aug 31, 2017

Great course! I really love Andrew's teaching method, and the programming assignment.

By Sven W

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Aug 29, 2017

Very intuitive and well explained... I highly recommand...

Thanks for the amazing job!

By zulfiqar a

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Oct 22, 2021

This course covers most beneficial content related to hyperparameter optimization .

By Timur B

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Sep 29, 2021

Very thorough and step by step learning, you actually think that you know something!

By Navid K

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May 8, 2021

It was a distinguished course, thank you Coursera, Andrew Ng and others contributes.

By Chandan K S

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Oct 13, 2020

amazing **********/**********thanks Andrew sir for such a great course. thanks again

By Joseph S

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Sep 11, 2020

Excellent mix of theoretical and practical. I will use this to solve real problems.

By Patrick L R

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Aug 24, 2020

Gives a lot of intuition to problems that are commonly occurring in machine learning

By Pushpendra G

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Jun 19, 2020

One of the best courses on Deep Learning available here. Thank you to Andrew Ng Sir.

By S A

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Mar 22, 2020

An amazing course. Can't wait to explore the other courses under this specialization

By Dasha G

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Nov 13, 2019

Great course to go through some practical aspects of building a deep neural network!

By Mohammad A P A

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Oct 25, 2019

great course,homeworks were kinda easy but the overall content was great. thank you.

By Saida C

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Sep 2, 2019

Really loved working through the programming assignments and validating my learning.

By 蔡中祥

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Mar 17, 2019

教授了很多调参技巧，还有些优化算法，平时用框架看不到这些实现，能手动来一次，加深了认识，如xavier初始化，即使有些从事深度学习的同事也不很清楚内涵，尽管算法很简单。

By Dana A

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Feb 2, 2019

The lectures are awesome, bu think the exercise need some more polish and more depth

By Rahul D

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Oct 27, 2018

this course gives a good knowledge about hyperparameters and tenserflow. I like it.

By Rebecca M

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Jul 5, 2018

Wish class had textbook instead of videos. Would like to keep documentation on this.

By Pranav

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Jun 14, 2018

Learned a lot of thing on neural net in this course.Excellent teaching by Andrew Ng.

By Vincent H

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Jun 10, 2018

We better understand what is behind tensorflow after following this lesson.Thank you

By DaesooLee

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Jun 8, 2018

I'm truly saying that this professor has an amazingly soft/pleasant way of teaching.

By Vladimir

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Dec 9, 2017

Brilliant course to understand Neural Networks with great practical focus!

Thank you!

By Jorge B C

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Nov 26, 2017

Very useful guidelines to achieve successful results developing Deep Neural Networks

By Wenjie L

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Nov 21, 2017

Great course! It helped me a lot about the parameter settings to train the networks.