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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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2201 - 2225 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Anne G

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Aug 27, 2019

Thanks again for the great tutorials and the learning experiences! Thoroughly enjoyed it!

By Jerry

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May 27, 2019

Thanks to deeplearning.ai for this nice couse, really learned a lot and good for beginner.

By Saurabh S

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Mar 24, 2019

Awesome course. Improving the Deep Neural Network performance is explained so intuitively.

By Deepak M

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Jul 25, 2018

This course content is structured so well that you would almost never refer anything else.

By zhaoxi w

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Mar 18, 2018

very useful; i like the programming assignment which is well structured and well explained

By Jyoti K

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Mar 6, 2018

It is a great course to learn in-depth details of deep learning concepts. I learned a lot.

By Lanchen S

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Feb 10, 2018

I wish I could learn more about Tensorflow. But anyway, this course is already good enough

By Kimi T

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Feb 8, 2018

Excellent course. Provide a lot of useful tips to find the the optimal way to train a DNN!

By Jitesh J

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Sep 28, 2017

More programming exercises for Tensorflow may be advantageous from learning point of view.

By Ingrid A

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Sep 18, 2017

This course offers immediately usable advice for improving performance of neural networks.

By yanghui

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Aug 23, 2017

Programming assignment is well-designed to help me understand new concept;

great course!!!

By Vinid S

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Aug 15, 2017

Wonderfully structured course! Thanks a lot for your efforts to democratize Deep Learning.

By Антон В С

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Dec 30, 2020

Brilliant course to dive deeper into neural network and optimization processes inside it.

By Virat K

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Nov 15, 2020

It is an amazing method of learning and quite an interesting puzzle at end of the course.

By Aleksander Z

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Sep 21, 2020

Thanks for the great course! But I think the usage of Tensorflow v1 is a problem in 2020.

By Snow Y

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Aug 11, 2020

The optimization algorithms are very effective. The teacher explained clearly and easily.

By NESTOR M D M

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Jul 13, 2020

This is a great course, most of the content isn't available in books or in other courses.

By Yover M C C

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Jul 8, 2020

High quality Course, I have learnt a lot about optimization and deep learning frameworks.

By Ashish L

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May 12, 2020

Great course to understand the bolts and nuts to build a proper optimized neural network.

By Gabriel S

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Oct 18, 2019

The professor Andrew is the best, learn with him is the best way to learn deep learnning.

By borja v

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Aug 19, 2019

Very interesting topics. Good explantion. The introduction to tensorflow should be softer

By Mun T Y

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Aug 17, 2019

Great explanations on some of the complex tunings with detailed practical in assignments.

By Stan Y

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Feb 17, 2019

Great introduction to practical aspects of tuning and optimizing a deep learning network.

By Manuel H C B D

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Dec 12, 2018

This course guides you through the details required to finetune your learning algorithms.

By Corey

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Oct 22, 2018

Through this course, I can handle so many problems with the help of Deep Neural Networks.