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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

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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

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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.

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3351 - 3375 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By JAGDISH R

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Jan 21, 2022

For a student this course is certainly a blessing :)

By Sina B

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Sep 11, 2021

I mean it's Andrew Ng! That's all you need to know!

By Bharath D

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Jul 21, 2021

Very Nice Course for learning basic of Deep Learning

By Charles X

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Jun 12, 2021

Very good course, contents useful in real practices.

By Kunwar P

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Feb 6, 2021

Thanks to Dr. Andrew Ng and the whole Coursera team.

By Diego G A

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Sep 11, 2020

Excelente curso!

Lo recomiendo con los ojos cerrados.

By Luis E O P

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Jul 5, 2020

Excelente curso, excelente profesor, muchas gracias.

By Koushik G

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Jun 29, 2020

Very Structured way of deciphering complex concepts.

By DJ

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May 17, 2020

I learned a great deal of material including theory.

By Nachiketa D

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May 13, 2020

great but you can explain tensorflow in more detail.

By Ignacio A

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May 10, 2020

Es un curso espectacular, super claro y recomendable

By Esther S

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May 7, 2020

I miss the small questions at the end of the videos.

By Anugrah S

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Apr 3, 2020

Videos and Practical Assignments both are impressive

By Deepak S

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Mar 30, 2020

This course has valuable content! Well satisfied. :)

By Bao N

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Mar 26, 2020

Thank you so much for preparing such a good content!

By Francesco

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Mar 24, 2020

The part on optimization algorithms is really great!

By ARCHIT J

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Mar 18, 2020

This course will help to optimize your model quickly

By Albert H M

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Oct 25, 2019

Very deep material and clear explanation. Thumbs up!

By Rushabh A D

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Sep 14, 2019

The last assignment is the Best Intro to Tensorflow!

By José A

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Jul 17, 2019

I love these courses. I recommend them to anyone! :)

By Yelan T

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Jul 17, 2019

This course is amazing! I will recommend my friends!

By Suraj J

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Jan 1, 2019

Andrew Ng. That's all that needs to be said. Thanks.

By Thibault R

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Dec 15, 2018

Thanks you very much, this is really a great course!

By Arnavesh .

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Oct 14, 2018

Great intuitions and explanations by Prof. Andrew Ng

By Thomas S

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Sep 2, 2018

Great for gaining deeper understanding on the topic!