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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
62,825 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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

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6726 - 6750 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rindra R

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Oct 10, 2017

Good curriculum and to the point. TensorFlow introduced a little late.

By Yousif A

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May 24, 2021

My one critique is that the TensorFlow topic was suddenly introduced.

By Ashish G

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Apr 27, 2020

course is not updates to tensorflow 2 but overall it is very helpful.

By Fabio S

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Nov 3, 2019

Suggestion of references, as a complement, would be very interesting.

By Marcos C

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Nov 3, 2019

Content needs update to leverage the state of the art in the subject.

By Cristhian B

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Aug 27, 2019

It's a hard course but the materials are great and their explanations

By Srivatsan R

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Jun 29, 2018

Needs more real coding exercises taht aren't mainly just copy & paste

By jian29ye4

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Oct 23, 2017

generally good but hope to get more assignment about parameter tuning

By Kalp K V

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May 21, 2020

Course was insightful but seemed difficult to grasp at some moments.

By Vishal C

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Mar 28, 2019

Tough Concepts are not explained clearly like dropout regularization

By Silvério M P

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Aug 31, 2018

Not as much detail on the topics as the first specialization course.

By Mahendren T

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Oct 30, 2017

Learnt a lot, assignments not as complex as would have hoped though.

By Ali K

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Aug 22, 2017

Material are excellent, but some assignments have little bit issues.

By Abishek V P

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Aug 13, 2020

Batch norm concept isn't taught well. Otherwise the course is good.

By Enyang W

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Jun 5, 2019

I liked it, but the tensorflow introduction came to early I think..

By Sai K

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Apr 23, 2020

There can be little more clarity in the Batch normalization topic.

By Corina S

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Jan 13, 2020

Informative course, last exercise could be updated to Tensorflow 2

By Shubham K J

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Aug 8, 2019

Grader is not performing well even though my outputs are matching.

By UJJAWAL S

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Mar 2, 2019

Lecture were quite good. But the course assignments were too easy.

By Alberto S

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May 20, 2018

By itself, not really a couse. It should be part of the first one.

By Muhammad W

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May 11, 2018

few mistakes in course assignment but overall good course material

By Michael F

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Apr 20, 2018

The programming assignments were too easy, otherwise good content.

By Siyu Z

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Mar 19, 2018

A good course. I get familiar with the idea about hyperparameter.

By Carlos P

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Feb 10, 2018

I would have liked to have more practice exercises about tunning.

By Yide Z

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Dec 13, 2017

good course but there are some small bugs in video and exercises.