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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
63,175 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

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

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.

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2251 - 2275 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By André E

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Nov 3, 2019

Thanks great!

But the slides for the downloads are not always exactly the same as shown.

By akyang

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Jul 30, 2019

Detail explanation and programming assignment for review are really helpful. Thank you.

By Nenad S

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Jun 5, 2019

Highly valuable insights and amazing teaching style. I will likely go back to this one.

By Rahul K

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Jan 28, 2019

very good content on Hyperparameter tuning , regularization ,Optimization and tensorflow

By chiven

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Dec 12, 2018

finishing the courses, I learned how to tune hyperparameters and basic use of tensorflow

By 刘尧

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Oct 30, 2018

Wonderful Course! I learnt Many Great Skills for Play with Deep Learning and Tensorflow!

By Максим К

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Oct 14, 2018

Very interesting & userful course, but I would like to see more programming assignments.

By Vineet M

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Jul 29, 2018

A basic programming exercise (optional or mandatory) purely on Tensors will really help

By Ebin A

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Jun 18, 2018

The course contains all the basic to know work with neural network and how to perfect it

By Martin D

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Apr 15, 2018

Excellent Andrew, easy to comprehend, focus on relevant information, valuable exercises.

By Jorge E

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Mar 11, 2018

Excellent detail, and the introduction to Tensor Flow it is really amazing in symplicity

By Kelvin R

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Feb 16, 2018

Gave me a good understanding of the more intricate parts of building an effective model.

By Seungwon K

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Oct 18, 2017

Thanks for great lecture. I really appreciate it and definitely going on to next course.

By Zhou L

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Oct 6, 2017

I learned a lot of tricks in hyper-parameter tuning. Very helpful for real applications!

By Xu Z

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Oct 1, 2017

Thanks a lot for the financial aid. Hope Coursera will grow larger and larger in future.

By Szabolcs S

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Sep 19, 2017

The TensorFlow parts need more explanation in my opinion. But the other parts are great!

By Kunal S S

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Sep 18, 2017

Amazing course but could use better video explanations and should provide more resources

By Suresh A

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Sep 3, 2017

The way Dr Ng puts the match together makes deep learning look very easy. Great teacher.

By Vincent L

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Aug 31, 2017

Hands on and clear, this class will help to understand the more practical aspects of NN.

By Christopher A

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Oct 7, 2023

Very insightful. I got to understand how the libraries I call in my code actually work.

By Abhinav T

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Jan 3, 2021

Thanks for this wonderful journey dear Andrew Ng. Sir !

You are just wonderfully awesome

By Angana M

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Dec 17, 2020

Very extensive course. The programming exercises help a lot in learning and practicing.

By Yuuki S

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Nov 21, 2020

This course is very great and I can understand comprehensive technics of improving DNN.

By Bai D

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Nov 9, 2020

Beautifully explained. Although little less hand holding in assignments wouldn't hurt..

By Fernando G M G

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Oct 9, 2020

Great course. I love the final assigment. Ready for the next one in the specialization.