Chevron Left
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
63,175 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.

Filter by:

1501 - 1525 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Saurav J

Sep 22, 2017

Excellent course content coupled with relevant course exercises which focused on applied and research aspects of Deep learning.

By Quentin T

Aug 24, 2017

Very useful course and well organized. I definitely feel more confident in Deep Learning optimization after taking this course.

By Pratik M

Aug 12, 2020

This course really helped me understand the optimizers that we use and hyperparameters that we set while coding in tensorflow.

By Yue W

Jul 21, 2020

Great course with well-structured step by step guide to get us familiarize with the technics and framework such as TensorFlow.

By Sebastian J

Jul 17, 2020

One of the best courses I have completed, superb instructor, awesome content, well structured material, fantastic assignments.

By Tanmay K

Mar 8, 2020

Excellent course! I would recommend to professionals who wish to gain an understanding into the nitty-gritty of deep learning.

By Manoj K R L

Dec 27, 2019

With Deep intuitive knowledge about Deep nets, Hyperparameters, Optimizers makes feel super confident of Deep Neural Networks.

By Thiago G M

Dec 22, 2019

O curso é muito didático e consegue passar os principais conhecimentos sobre Deep Learning de forma direta, concisa e precisa.

By Jenhan T

Jun 12, 2019

Andrew Ng has a talent for making complicated concepts appear simple. The videos in this course are definitely worth the time.

By Sam D

Feb 12, 2019

Another wonderful course from Andrew Ng, and gives a good intro to tensor flow at the end. Looking forward to the next course!

By Willem v G

Mar 19, 2018

Excellent course with lots of info & hands-on learned. In particular, Andrew's style of instructing is very clear and concise.

By Michael S

Dec 19, 2017

Andrew does a great job explaining some important hyperparameters and how to use them to tune your deep neural network models.

By Ivan S

Sep 22, 2017

Very good. It is excellent starting point for developing the knowledge and skills required for active application of deep NNs.

By Sagnik C

Jan 30, 2022

This was a great course. Helped in gaining insight into the functioning of neural networks and how to efficiently train them!

By Allyson Z

Dec 26, 2020

Great course! and I will definitely need to invest more time to fully master the content after the completion of this course.

By Кальченко А

Sep 7, 2020

It's amasing how this specialisation leads you through complex topics step by step and everything becomes clear and possible.

By Jagdish R A

May 23, 2020

I understood optimization algorithm also I got regularization techniques.

Bias variance so many things I got thanks a lot.....

By DHEERAJ R

Apr 28, 2020

One of the Best courses on Neural networks,

I keep revisiting this course whenever I have to improve the Neural network model.

By Shreyash W

Jan 2, 2020

The course is designed for beginners, the code implementation takes care of unncessary things of how to display the results.

By Prosenjit D

Dec 5, 2019

Very good course, helps develop actual concepts by implementing a deep neural net just in python and not using any framework.

By Ankit K S

Nov 30, 2019

Wonderful explanation of optimization algorithms, hyper-parameter tuning and regularization.

Great introduction to TensorFlow.

By 胡青翘

Jul 10, 2019

I hope you guys could improve the hardness of the programming assignments. They seem to be a little easy compared to quizzes.

By sudheer n

Jun 17, 2019

As usual, Andrew Ng has explained the concepts in the simplest way possible. A little work outside the course can help a lot.

By Arpit J

Dec 16, 2018

This course gives a thorough intuition about the hyperparameters and how to regularise them. Brilliant work by Andrew Ng sir.

By Mahesh

Sep 16, 2018

Appreciate the course videos. They dont demand prior knowledge of machine learning.

The assignments gives hands on experience.