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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
63,380 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 9, 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

XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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6751 - 6775 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ahteshaam S

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Feb 16, 2022

The Last assignment on Tensorflow can be improved and explained in detail.

By Gy艖z艖 T

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Feb 19, 2021

The Tensorflow part was hard. Pleas add more explaination to the notebook.

By Shivaraj N

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Aug 29, 2020

Pls update to Tensorflow 2.0. Its a bit discouraging to learn and unlearn.

By Saurabh D

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Sep 12, 2019

Insights about how machine learning works in real life is quite ingeniuos.

By 鞁犽靹�

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May 28, 2018

very good lecure.

somewhat difficult to me. I will repeat again and again.

By John F

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Jan 26, 2018

Very informative but got some issues with the last programming assignment.

By Arjan H

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Dec 9, 2017

More rigorous independent projects/assignments are needed for this course.

By Carol Z

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Aug 19, 2017

Deepened my understanding of how to make deep neural networks work better!

By Kleber T

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May 22, 2021

very extensive content. I missed more text content to support the theory.

By Kristian K

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Nov 20, 2020

Should update the last lab to use the latest version of tensorflow (TFII)

By Digaamber D

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Jul 18, 2020

Would have been more helpful if TensorFlow was covered in greater detail.

By Xiaoliang L

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Mar 25, 2019

Practices are more like "type after me" than a real learning opportunity.

By Jorge P

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Oct 28, 2017

Excelent course with very interesting insigth on tuning a multilayer ANN.

By Shivanshu K S

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Apr 6, 2022

Great course. The tensor flow introduction part could have been better.

By Delowar S

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Jun 2, 2020

this course will help me to improve my academic skill beside help future

By Shahin A

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Apr 18, 2020

i rate this course 4, its really good one and learned alot in the course

By ATIK M

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Apr 26, 2019

Good can be improved by providing more code based video like Tensorflow.

By Benjamin M

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Jul 25, 2020

More explanation for some of the tensorflow code could have been given.

By Olena I

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Apr 24, 2020

I think TensorFlow is outdated, PyTorch is the way to go in the future.

By Jaap d V

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Jan 8, 2020

Some tricky parts in the programming assignments. otherwise great class

By alfredo g

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May 30, 2019

too math, i hope futher parts contain more implementation than calculus

By Imran P

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Oct 5, 2017

I'd like a little more focus on tensorflow, perhaps starting at week 1.

By Babu L P M

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Oct 20, 2023

If can be better if more details on introduction to tensorflow added

By Prateek L

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Mar 27, 2020

There should be more examples first of all then moving to mathematics.

By Mohammad A

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Feb 26, 2020

Great Explation of hyperparameter tuning and best intro to Tensorflow.