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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

55,787 ratings
6,385 reviews

About the Course

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....

Top reviews

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.

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\n\nThanks.

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6226 - 6250 of 6,309 Reviews for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

By Pranshu D

Mar 6, 2018

More tensorflow related tutorials should have been there. The lectures turned a little boring and redundant.

By Adrian C

Nov 30, 2017

So far, I think this course is weak on theory, seems rushed and should provide more in depth lecture notes.

By Vincent D W

Oct 26, 2019

Encounter Error in the final assignment, cannot complete the model, but the grader gives 100/100 anyway.

By Amit C

Feb 1, 2019

I wish the course mentors were more active on this course makes it a bit difficult to clear doubts

By Laura L

Mar 22, 2018

It does not make you think of the problems, just fill in the gaps. First course was better.

By Mostafa A E N

Jul 29, 2020

Programming assignments are too easy and the answer is already given before the question.

By harsh

Jun 28, 2020

Tensorflow is not at all user friendly, I'm sure better alternatives would've been there.

By Aviv D

Apr 25, 2020

I recommend adding a summary page at the end of each week to make sense the mathematics.

By Tanurima M

Jul 4, 2020

The course is outstanding just the tensorflow library should be taught more in details.

By Pranjal S

May 15, 2020

The technologies and the assignments should be updated to follow the latest standards

By Chaobin Y

Nov 3, 2017

Maybe this course can merge with the 1st one. they both cover too little materials.


Sep 12, 2020

WEEK-3 was a little bit messy, it would have been better if it was tensorflow 2

By joel a

Apr 25, 2020

taught concepts well, but the programming assignments felt like it was spoonfed

By Xin H

May 12, 2018

Good: Contents on Tensor Flow

Bad: No real useful content compared the Course 1.

By Péter D

Oct 6, 2017

great lectures, simplistic programming assignements, ridiculously easy tests


Aug 2, 2020

It would be better to use TF2 as there are lots of changes in the usages.

By 笛 王

Jan 18, 2018

Harder to understand. Overall quality is not as good as the first class.

By Kenneth Z

Mar 20, 2018

It is a bit abrupt to jump into tensorflow without explaining in depth.

By Rishab K

Apr 17, 2020

good course to learn, but more assignments should be introduce n week3

By Rajat K S

Jan 11, 2020

Most of the solutions to the assignment were written in instructions.

By Ganesan G

Dec 28, 2017

I am not getting to see the programming exercises that i have done :(

By Jonghyun K

Apr 25, 2020

voice was too small compared to noises made by clothes and others.


May 13, 2018

Good courses, the sound quality is very poor (high tone noise).

By Morisetty V A S K

Jan 20, 2019

Interface for evaluating is not great and assignments are easy

By Alex I E

Sep 4, 2017

The Tensorflow part should have started sooner in the course.