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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

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.

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.

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7226 - 7238 of 7,238 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Alex M

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Jun 12, 2020

ala0z

By Ahmed N

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Aug 21, 2023

good

By zl 大

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Apr 14, 2022

here is a bug in Week1's programming assignment,Gradient Checking ("Exercise 3 - gradient_check" and "Exercise 4 - gradient_check_n")

the problem is that I search everywhere in forum provided by the course and still cant find a solution，none of course's administrator or man in charge provided a solution,instead of they told you over and over again"make your question on Deeplearning.AI",which is their community forum

I just ask for a solution ok so i can fix this assignment and pass

"

By Anders B

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May 23, 2021

The course was updated half way through, we were automatically rolled on to the updated version and progress already made on the course was reset from under our feet. We had to retake previously completed and passed content, wasting much time. It also did not help that the website reported the course content we had to retake as complete in some areas of the site and not others.

By S. H

•

Aug 19, 2024

Coursera refuses to issue the specialisation certificate even though I spent over 300 euros and completed all courses. If I was told this beforehand, I would not spend anything on the course. The customer support team has not been helpful.

By Rohan K

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Feb 26, 2020

i am doing course in feb and i have been assigned sessions in april. Cant view even assignments or programming assignments before April. Totaly rubbish

By Sean L

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Sep 9, 2019

Love the content but unable to reset course when deadlines pass is VERY ANNOYING.

By Shiv n V

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Jun 29, 2020

I have a problem in my assignment's submission.Please do rectify the error soon.

By Kunal R

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Jun 1, 2021

Not able to submit assignments, not able to unenroll, quite disappointing.

By Ranieri A

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Nov 14, 2017

The autograder ran into massive technical issues. Needs to be fixed ASAP.

By Aniket D B

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Sep 27, 2020

Please change the week 3 programming assignment grader. It doesn't work.

By Felix F

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Dec 19, 2017

giving low grade for ongoing delays of course 5

By G V V K I

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Jun 8, 2021

Not understandable