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

4.9
stars
63,295 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

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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6601 - 6625 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Harry L

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Mar 21, 2020

Too much code is given, which makes the programming assignments too easy. The material is great, though.

By Shijian G

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Nov 29, 2019

These series are generally clear and well-organized. It would be better to provide tensorflow materials.

By Kevin T

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Mar 29, 2023

The assignments could have been explained a little bit better. The course was overall very interesting.

By Joseph A

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Dec 6, 2020

The course was very great, although I feel I needed a better explanation about tensorflow functionality

By Tien N V

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Jun 24, 2020

This course so very good for person who wants to understand the optimization topic in machine learning.

By Tanmay

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Jun 2, 2020

Nice content; creators must try to focus on enhancing the confidence of learners to code by themselves.

By Ranjan D

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Jul 17, 2019

Great explanation on tuning different hyper parameters and how they can effect the model's performance.

By Keanu T

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Jun 25, 2019

I wish it went a little more in-depth with softmax classifiers but I can find that online so it's good.

By Byron M

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Apr 9, 2018

The final assignment didn't have the right instructions, a lot of misleading comments and instructions.

By Matías L M

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Oct 29, 2017

The professor is really good at explaining. The projects got more interesting than in the first course.

By Per K

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Oct 2, 2017

Get you to a more practical understanding of deep learning. The introduction to TensorFlow is valuable.

By Alexander

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Mar 9, 2020

I would like to learn the V2 of TensorFlow. Except that. exceptional course. I love Andrew's teaching!

By LEO L

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Jul 30, 2019

All is good except the submission part, sometime return submission failure without specifying a reason

By Deleted A

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Jun 22, 2019

Great Course ! I learned a lot, but I would have preferred another Framework though (like Pytorch) ...

By Qingyun W

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Jun 6, 2019

Some typos in the programming assignment is still not fixed (Mentioned in top posts in the discussion)

By Ryan M

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Oct 7, 2018

a very informative course, I was introduced to Tensorflow through this course... I absolutely loved it

By Dan C

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Feb 28, 2018

I had a bug in my compute_cost function that caused cost to spiral but the grader did not catch it....

By Yash J

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May 18, 2020

There should have been deeper explanation for the tensor flow section. Otherwise an excellent course.

By Tim W

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Aug 20, 2020

Course material was quite good, only disappointment was that it was taught in tensorflow 1 and not 2

By John C

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May 18, 2020

Great instruction on the fundamentals. Probably need to update to Tensorflow 2 or just teach Keras.

By Akshat D

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Apr 22, 2020

This was one of the amazing courses I've ever attended on Coursera. Kudos to Andrew NG and the team.

By sahil a

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Mar 11, 2020

week 3 : Tensorflow framework explanation can be much better otherwise the whole course is very good

By Lin Z

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Mar 28, 2019

interesting introduction about deep neuro networks with examples on how to use Tensorflow framework.

By Marijan S

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Sep 9, 2018

I learned very useful info, but the last programming asignment with tensorflow was a pain in the a**

By Sébastien C

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Nov 19, 2020

This is a good overview of optimization techniques. I think the exercises are sometimes too guided.