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:

2651 - 2675 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By ZengChun Y

•

Mar 31, 2019

Thank you Andrew. This course does help me learn more about deep learning!

By Muhammad H B K

•

Mar 30, 2019

Was an amazing course. There are few mistakes in final exercise of week 3.

By Toi D V

•

Mar 15, 2019

It's very useful with great insight on how to improve Deep Neural Networks

By Sathish K G

•

Mar 12, 2019

I like tensor flow assignment very much.

Overall the learning is very good.

By sai p j

•

Mar 3, 2019

Great course on Deep Learning. Thank you very much Andrew NG and Coursera.

By Yash S

•

Feb 7, 2019

i think the systematic method for hyperparameter tuning was the best part!

By Patrick M

•

Jan 29, 2019

Thank you so much for this course. It's been really insightful and helpful

By Aravind D C

•

Jan 28, 2019

Very good course to understand the nuts and bolts behind the deep learning

By Juilee D

•

Jan 20, 2019

very elegant course, with nicely structured assignments and study material

By Mubashar N A

•

Dec 23, 2018

improved my knowledge and thinking abilities about hyperparameters tunning

By Sanjif R

•

Nov 9, 2018

Very helpful in understanding how to tune networks to improve performance.

By Yuzhe Q

•

Aug 14, 2018

This course is valuable for my implementation of deep learning algorithm!

By Hang J

•

Jul 29, 2018

The practice are super helpful to my understanding of the mathy materials.

By Andres S

•

Mar 18, 2018

Great course. Had to wait until the end for the best part with Tensorflow.

By Animesh B

•

Feb 17, 2018

This course is better than the previous ones.. So much to learn from this!

By Kaihua T

•

Nov 23, 2017

As a master student major in computer science, this course helps me a lot.

By John H

•

Nov 12, 2017

Great nuanced information that is not covered well in many online courses.

By Zhang B

•

Nov 7, 2017

Hyperparameter tuning is a useful to for optimization of machine learning.

By Diego M

•

Nov 5, 2017

Great like the rest of the specialization - Also great intro to TensorFlow

By selim ö

•

Nov 2, 2017

The course helped me to learn a lot. I am grateful for the course. Thanks.

By Muhammad A K

•

Aug 31, 2017

Excellent add on to the first course "Deep Learning and Neural Network"...

By Marco M

•

Mar 23, 2023

Concise introduction. Notebooks used for labs are really well documented.

By Aliya A

•

Jun 26, 2022

it give us the idea how to improve our model by tunning the hypermerater.

By Josué S C P

•

Jul 22, 2021

Amazing course, have everything to start deep neural networks developing.

By Florian C

•

Jan 8, 2021

Best resource for learning about deep learning I have encountered so far!