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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

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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3001 - 3025 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Aditya R

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Aug 14, 2020

this course gave me insights on how to tune the model properly.

By Nikhil V

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Jul 27, 2020

Best course I have attended ever with lot of learning outcomes.

By Prathamesh D

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May 4, 2020

Got A very good intuition of Hyperparameters and Regularization

By Shivaji

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May 1, 2020

Best way of teaching Optimization and regularization techniques

By Faysal M

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Apr 2, 2020

This course helps me a lot to improve my neural network skills.

By junping z

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Sep 29, 2019

very useful course and bring insight on how to train parameters

By Xia H

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Aug 5, 2019

Great explanation like always from Prof. Ng. Thank you so much!

By Juha J

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Jul 17, 2019

First it was easy but then I really had to start using my brain

By Yuri

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Mar 8, 2019

Great course but why there is not downloadable PDF with slides?

By Akash C

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Oct 4, 2018

Very nice course with good material and programming assignments

By neeraj c

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Apr 12, 2018

Complex concepts made simple by building upon using easy steps.

By Yu S

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Feb 11, 2018

I hope instructors could fix the wrong notation in the lecture.

By Abhishek

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Dec 29, 2017

Nice course> i loved to be a part of it.Just needs lots of time

By Li Z

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Nov 25, 2017

I especially liked many "intuition"s on deep learning concepts.

By Leo S

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Oct 18, 2017

Necessary to understand how to use neural networks in practice.

By QIQING

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Sep 25, 2017

thanks to Andrew, for his shareing of experience in this field.

By Sebastian F

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Sep 15, 2017

Hands on learning! Interesting lessons and easy to follow code.

By Rabiya M

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Dec 6, 2023

Extraordinary Course with exceptional learning points. Great!!

By KUSHAGRA S

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Dec 16, 2021

Great! Though last assignment as a bit difficult but its okay,

By Maya S

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Sep 26, 2020

amazing course ! well build and explained thank you very much!

By Satyam S

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Aug 28, 2020

Really helped me build my fundamentals about hyper parameters.

By YANSKY

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Jul 28, 2020

This course is excellent! Every material explained very clear.

By Muhammad U

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Jul 17, 2020

Really helps you to understand what is going behind the scene.

By Anirban G

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Jul 5, 2020

Excellent basic introduction to hyper-parameter optimizations.

By sathya p

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Jun 17, 2020

Well done guys. Great work indeed.

Hope to see courses from you