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

4.9
stars
63,368 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 9, 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

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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6701 - 6725 of 7,272 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Prasanna K

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Oct 7, 2017

Course content is intense. May be need more detailed videos/lecture on Tensor flow

By Domagoj

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Dec 11, 2021

Some exercises are not clear enough, that is why 4 stars, overall it is 5 stars.

By Ariel B

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Dec 16, 2020

Tensorflow 1 assignment should be updated to version 2

Otherwise very good course.

By Krishna T

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May 12, 2020

Loved the way how Prof.Andrew Ng explained everything in such a simplified manner

By Harsh B K

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Jul 30, 2019

Good Insights of hyper parameters with other techniques to improve learning rate.

By JETTIBOINA V N D S R P

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Jul 4, 2019

Content was excellent and it was delivered by Andrew Ng sir in an outstanding way

By NEERAJ T

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Dec 27, 2018

I thoroughly enjoyed this course. Presents the material in an easy to learn style

By satyasai n

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Mar 21, 2018

they should have given more lectures on tensor flow but still it is a nice course

By mike b

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Jan 15, 2021

The assignment teaches tensorflow v1 where I would have expected v2, Keras, etc.

By Bezzecchi E

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Jan 7, 2021

Good understaning on why certains 'tricks' in nn tuning and regularization work.

By Marwan S

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Sep 10, 2020

In my opinion,the tensorflow framework should have been set in a separate course

By Martin B

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Aug 28, 2020

very good but TensorFlow requires more explanations especially in the last block

By Luis E G A

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Nov 24, 2019

great course, last videos (except for frameworks ) were somewhat hard to follow.

By Ran S

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May 17, 2019

More excersies on batch norm and hyper parameter search could have been usefull

By 成萧何

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Mar 26, 2019

A programming assignment about batch normalization and softmax will be helpful.

By Enrique J S

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Sep 23, 2018

Very interesting to improve the foundations of neural networks previously learnt

By udit b

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Mar 7, 2018

Not much ground covered on implementation of hyperparameter search in tensorflow

By Muktanil D

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Jan 7, 2018

Great course, nice explanation of optimization techniques...too less TensorFlow.

By Kumar V

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Oct 16, 2017

Good course could have been better expected little more on Tensor flow exercise.

By C. G F

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Sep 30, 2017

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

By Abidur R

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Jun 25, 2020

Should have some TensorFlow Tutorials. I have found it difficult to understand.

By xiao c

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Apr 13, 2020

Good content. But I found the pace a little slow , maybe just my impatience. :)

By David A H V

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Mar 15, 2020

Great insights, however the programming assignments came with some minor issues

By Nicolo d G

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Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

By Adrianus B K

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Oct 7, 2018

This course is a bit harder than the first one although it is only three weeks.