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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
63,156 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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2551 - 2575 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Mehmet S

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Nov 22, 2017

This was less mathematical, and more code-oriented course than the one before.

By Jacob V

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Oct 25, 2017

Excellent course. I would recommend it for anyone interested in deep learning!

By amit s

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Oct 5, 2017

This course helped me in improving my knowledge so far about Deep Neural Nets.

By Leslie L C H

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Aug 13, 2017

Best ever Deep Learning MOOC ever take. Well explained and easy to understand.

By Vaibhav

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Sep 12, 2022

Excellent course with reasonably detailed explanations behind every concept!

By Nourelhouda D

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Oct 26, 2021

Very Interesting. Though I would put more stress on the TensorFlow framework.

By Njeri M

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Aug 29, 2021

Very well structured and taught. I enjoyed the programming assignments most.

By shaik b

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Jul 24, 2021

Superb experience able to understand to understand concepts behind tensorflow

By Abdul R

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May 3, 2021

wonderful , the contents of the course is outstanding. 100points from my side

By Zhiqun Z

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Jan 11, 2021

It helped me understand the mechanism of Adam optimizer in the shortest time.

By Arjun M

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Oct 23, 2020

WOW that was a ride! Learnt so much and improved my confidence on the subject

By Ramana B G

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Aug 20, 2020

Andrew Ng's teaching style is so simple and understandable.

Thank you, Andrew!

By Shivender K

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Jul 8, 2020

Really complex and challenging but very enjoyable course with great learning.

By José A C C

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Jun 23, 2020

Excellent course to understand what hyperparameters are and how to tune them!

By Sujatha r G

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May 18, 2020

really a wonderful session in depth with each and every concept with examples

By Muhammad F H

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May 11, 2020

Excellent Material and very nicely organized and delivered by the instructor!

By Yash K S

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Apr 30, 2020

Excellent course. Covers all the promised topics succinctly and with clarity.

By Deepanjan M

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Apr 15, 2020

Nicely Explained! Great course for those who have started with Deep Learning.

By Tanbir S

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Apr 7, 2020

High-quality content. Very well organized and topics and detailed discussions

By Praveen A

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Jan 15, 2020

Great course on Hyper parameter tuning with all the low level details needed.

By GYUHOON K

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Dec 3, 2019

if assignment is tf v2, it would be better.

however, I am glad to practice tf.

By Pablo M P D

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Aug 13, 2019

Me pareció un buen curso, complementa bastante lo aprendido en curso anterior

By Jeff J

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Jul 23, 2019

Great opportunity to see the difference various optimization techniques make.

By Karel N N

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Apr 5, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

By Qasid S

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Jan 6, 2019

Great Course!! This course should be part of every deep learning career path.