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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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1951 - 1975 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Şükrü O

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Sep 3, 2018

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

By Ovidiu S

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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

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May 27, 2018

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

By Bruno O

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Mar 19, 2018

It was a very interesting course, but the full specialisation is a Must have! It was awesome! Thanks!

By harish r

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Feb 21, 2018

Excellent course. Thank to Coursera, Professor and staff for putting together such wonderful material

By SAUMIL S

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Oct 2, 2017

Thanks yet again for simplification and isolation of concepts in exercise. Helps in learning a lot.

By Alberto C

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Aug 2, 2020

Me encantó, muchas gracias a Andrew Ng y a todo su equipo por la gran labor que están realizando :).

By Mohammad S R

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May 7, 2020

I have no words to express my sincere gratitude towards Coursera, deeplearning.ai and Mr. Andrew NG.

By John T

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Apr 25, 2020

Great course, clear and concise lectures and very helpful assignments. Looking forward to course 3!

By Sanjiv A

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Mar 9, 2020

Very well designed course and very well taught by Prof. Andrew Ng who always motivates participants.

By yangyandi

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Jan 26, 2020

It's a very useful course for me to have a better understanding of hyperparameter in neural network.

By Akshat J

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Dec 21, 2019

Please give explanation about tensorflow , what computation graph is and how does a session works .

By sandeep d

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Jul 28, 2019

Covers theoretical aspects very well and good programming exercise that reinforces the theory again.

By Deven P

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May 19, 2019

Excellent resource for strategies on tuning hyper-parameter. Also a good introduction on tensorflow

By Alexandros A

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Apr 22, 2019

Loving the specialisation so far. TensorFlow introduction very basic - could use another week maybe?

By 郑韬

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Mar 18, 2019

Excellent course. I feel it's cool to learn deeplearning in such amazing approach! Thank you Pro NG.

By Steve G

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Mar 13, 2019

Really learned a lot . Speed was just right and covered a lot I mean a lot of information well done!

By Evan M C

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Oct 7, 2018

Great course! Please fix the final assignment failing when using the @ operator instead of tf.matmul

By Arunava C

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Jul 29, 2018

Super Awesome! Needless to say about the content and intuitions provided by Prof. Ng are just great!

By Alexey K

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Jun 10, 2018

Very nice intro into advanced DL techniques. TensorFlow part is a little bit clunky, but manageable.

By Matt P

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Jan 24, 2018

Andrew Ng is a terrific expositor of this material. He provides excellent intuition for the results.

By Louis C

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Oct 6, 2017

Great course! It has really extended my DL abilities, especially with the introdution to tensorflow.

By jeremy j

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Aug 20, 2017

good course.learned quite a lot and Prof Andrew made it very simple for NN beginners to understand .

By Samrat S

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Aug 13, 2017

As usual awesome by Andrew Ng.. 3.43 am in the morning in just finished course 2 now so addictive :)

By Justin H

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May 26, 2023

Numpy implementation Neural Networks. Intense. Insane. Hyperparameters == a tweaker's wet dream