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
63,068 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

XG

Invalid date

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.

YL

Invalid date

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.

Filter by:

1926 - 1950 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Pratyay M

•

May 7, 2020

Really helpful and vital to get the foundations that are necessary to work in the deep learning field.

By ABY P

•

May 5, 2020

covered the neural network detaily with proper explanation . looking forward for next course of series

By Simon Z

•

Apr 29, 2020

I learned a lot of new things even though I am working with deep learning for years now. Great course!

By Ioannis

•

Apr 28, 2020

Important course where Andrew shares his insights in how to make NNs work better and how to debug them

By Hemi S

•

Jan 21, 2020

Great practical methods to implement ML and NN. Wish we had more tutorials with Python and TensorFlow.

By Md. S K ,

•

Oct 11, 2019

This course was very informative and gave me a good estimation of different types of hyper parameters.

By ภาณุ ป

•

Aug 27, 2019

Wonderful course. I learned about basic TensorFlow, regularization, optimization and parameter tuning.

By Njabulo

•

Aug 23, 2019

One of my favourite courses in the specialization. This is the course i'll be coming back to the most.

By ABDUL A I

•

Feb 24, 2019

Really learned a lot from this course. Hyperparameter tuning is something I now understand much better

By Tito M

•

Feb 9, 2018

Dr. Ng's way of teaching is great. It would be great if some of the papers are shared in the appendix.

By Raj

•

Nov 10, 2017

Very good course. I wish Tensorflow material was longer although I can now learn Tensorflow on my own.

By Vipin V

•

Oct 3, 2017

I was able to understand the concepts behind the hyper parameters and did my first tensorflow program.

By Gaurav P

•

Sep 23, 2017

This was most awesome overview of so many important concepts that one needs in field of deep learning.

By Abhijeet K

•

Sep 18, 2017

Just Awesome. Completed in 3 days but awesome experience with Professor Ng.

I am becoming a fan of him.

By Franklin V

•

Dec 31, 2020

I really like it, and I learned a lot of more deep topics and how to improve neural networks. Thanks.

By Daniele V

•

Aug 27, 2020

The right level of detail, but I'd recommend to shrink it for future students, because it's outdated.

By Rahul C

•

Jul 10, 2020

A must course for all AI practitioners. Very informative and takes you from basics to implementation.

By Swarnendu R

•

May 29, 2020

Better understanding with hyper parameter tuning and Nice start with TensorFlow programming framework

By Bhanuprasad D

•

Apr 19, 2020

i have learnt many concepts in this course that i have applied in my models and got very good results

By Maksim P

•

Apr 11, 2020

Despite this course isn't very long it covers important topics related to ML engineer/scientist work.

By Herambeshwar P

•

Jul 22, 2019

Very Good course, Recommend to anyone who is trying to learn and dive into the field of deep learning

By somex g

•

Jan 14, 2019

this course helped me to understand, what is effect of various hyper-parameters and how to tune them.

By Şükrü O

•

Sep 3, 2018

If you have enough motivation and determination this course is the best choice to learn ML and DL ...

By Ovidiu S

•

Jul 1, 2018

The course is very interesting, however I wish a bit more time was spent on tensorflow and its sintax

By Stephen H

•

May 27, 2018

Excellent course, well structured material and assignments really helped with consolidating learning.