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

4.9
stars
63,175 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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2476 - 2500 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By PRATHAM S 1

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Feb 11, 2021

Amazing course please if you are seriously interested in DL, a must take course.

By BMH

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Nov 17, 2020

This is a good course to follow by a person who is in any stage at deep learning

By A A V

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Sep 21, 2020

Enjoyed the course. Learned a ton. I will surely try concepts learned from here.

By Ahammad U B

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Sep 21, 2020

Great course like the first one and Great instructor. I really enjoy the course.

By ANURAG S

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Sep 1, 2020

Great Course. Helped me learn many important concepts about Deep Neural Networks

By Rohit K

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Aug 11, 2020

Week 1 was bit difficult to catch up. But the it was as good as previous course.

By Yashwanth G

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Jun 25, 2020

A very detailed and in-depth explanation of the various optimization techniques.

By Divyanshu S

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Jun 20, 2020

Extremely helpful course in getting insights into working of Deep neural network

By Bruce M

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Jun 16, 2020

The lectures are excellent. Very detailed. I was bale to take really good notes.

By Krishna P P

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Jun 14, 2020

It really helped me to understand how can I improve the performance of my model.

By - A U S

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May 25, 2020

Absolutely insightful from the perspective of optimizing a NN. Thanks Andrew NG!

By Krishna P D

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May 2, 2020

Great way to know internal workings of Neural Networks. Very clear fundamentals.

By Reza M

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Apr 26, 2020

Great Intuitions! On e of the best experiences of online leanings. Thx Coursera!

By Piyush V

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Dec 21, 2019

A great and very beginner friendly course to understand optimization techniques.

By George B

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Aug 13, 2019

Very useful skills for implementing neural nets after you understand the basics.

By Mehul

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Jul 30, 2019

As always it was a great experience learning from the very best in the business.

By Francisco V

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Jul 18, 2019

Excellent material. Clearly a lot of effort has been put on making this courses.

By KEMAL S

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Mar 27, 2019

These courses gives a new aspect of life. I gained lots of valuable information.

By Abdullah A

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Jan 7, 2019

Very thorough explanation about the hyperparameters and optimization techniques.

By 罗炜儒

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Nov 26, 2018

相比系列课程的第一课，该课程内容更加深入，对于深度学习模型构建过程的参数问题及优化方法给出了详尽具体的分析和探讨，能很好的让学生理解深度学习背后的意义，满分推荐

By 朱欣宇

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Sep 8, 2018

Andrew Ng always makes difficult concepts easy to understand! Thank you so much!

By Mario F R

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Aug 23, 2018

Easy way to understand the optimization algorithms and the TensorFlow framework.

By Parallel

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Apr 5, 2018

A helpful course about how to fine tune the hyperparameters of neural networks !

By Matteo B

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Mar 26, 2018

Andrew Ng is really an excellent teacher, perfect pace and great course overall!

By Ruby S

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Dec 26, 2017

Thank you for clarifying the most relevant techniques for improving the methods.