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

4.9
stars
63,285 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

XG

Oct 31, 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.

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

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1351 - 1375 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Taha A A

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Nov 2, 2021

The course content were well organized and so good but the programming exercises were a bit easy and were implemented by a large portion.

By Anirban S

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Apr 25, 2021

The lucid explanation provided by Andrew Ng goes a long way in helping the students build core concepts in a logically structured manner.

By Hαsίβυπ R

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Aug 31, 2020

All are the Courses are just amazing and helpful and Dr. Andrew Ng is great instructor .... i just loved his way of teaching.... Thanks !

By Bilal Z

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Jun 30, 2020

It was a fabulous experience taking this course.I learned a lot,although not 100% as majority of concepts were new but to certain extent.

By Hasnat A H

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Jun 1, 2020

The importance of tuning hyperparameters are taught with very good examples. Other techniques for optimization are also discussed nicely.

By Shantanu M

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Apr 1, 2020

best to understand the internal working of neural networks and different parameter tunning to make their functioning faster and efficient

By Divyansh H

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Mar 13, 2020

I enjoyed learning from this course. The programming assignments are well-written to apply the knowledge imparted through video lectures.

By BIN N

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Jun 16, 2019

I am happy to learn a lot about Hyperparameter tuning. I think that I will refer to this course when implementing neural networks myself.

By Arun K

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Mar 9, 2019

Really an awesome course. Learnt about the math behind major Deep learning algorithms. A fun course and loved the saddle point reference.

By alrojas68

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Nov 15, 2018

This course covers so deep insight on what is like to train Neuro Networks. Extremely useful. Thanks a lot to Andrew Ng and all the team.

By Poorna J

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Aug 30, 2018

The Course that gave me confidence to overcome the performance constraints of ANN - now I have a bag of tricks to improve the performance

By Huifang L

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May 4, 2018

The professor did a great job in explaining the intuition and shared a lot of practical tips. Programming homework is very well designed.

By Jun K

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Apr 21, 2018

A wonder course, which is always the case for Andrew's course. It was nice to learn what's happening with momentum and Adam optimization.

By Aashish K

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Jan 8, 2022

I use to be always scared by the terms like Hyperparameter Tuning, Regularization. After this course, I am pretty comfortable with them.

By duc-thanh t

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Mar 10, 2021

The course is a perfect balance between theory and "hands on" assignment to familiarise yourself with the optimisation of neural network

By Aditi S

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Feb 8, 2021

This course provides great insights into multiple ways of improving a deep neural network in practice. Well structured and rich content.

By Andrzej C

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Feb 1, 2021

One of the best courses I've attended; gives a lot of intuition, but some more programming exercises, even optional ones would be great.

By Ralapalli S N M B

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Dec 21, 2020

Just reading a book of all these concepts is not enough to have a deep understanding. This course is just right to learn what is needed.

By Rafat R

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Sep 13, 2020

Some of the lessons were quite confusing and still not clear but Mr Andrew was absolutely brilliant. Loved the time spent on the course.

By Shamith A

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Jun 24, 2020

The theory and explanation is awesome. But, I wish the last programming exercise will be adapted to TensorFlow 2 (instead of TensorFlow)

By Keshav B

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Jun 1, 2020

It was definitely a bit more difficult than the previous one, but also it was just as much fun doing this course as the previous one. <3

By Great S L

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Jul 4, 2019

This class is amazing for those who want to start their career in the world of Data Science with Neural Network!!! Highly recommended!!!

By Rahuldeb D

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Jul 23, 2018

Another awesome course. Things have been discussed in great details. I would like to thanks Coursera for offer such a wonderful course.

By Sayar B

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Jul 5, 2018

Professor Ng explains complex concepts with such ease. Uses great examples to illustrate the 'why' aspects of everything in this course.

By Rishab R

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May 9, 2018

Another excellent course which builds on the material from the previous course.

Thanks Andrew for presenting it in the best way possible.