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

4.9
stars
63,068 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

XG

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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2626 - 2650 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Varun B

Jun 19, 2018

This was an awesome course thanks Andrew NG for this wonderful explaination

By Sacha v W

Jun 14, 2018

Clear explenation of steps, both technical and conceptual. Clear exercises.

By Alberto P M

May 17, 2018

The exercises are well focussed and they have good guidelines to solve them

By Kamal S

Mar 21, 2018

Andrew presents the concepts in a very easy to understand way. Learnt a lot

By Fengyu Z

Nov 10, 2017

very good as the first course in this track, will continue working on this.

By Nicolas M

Oct 27, 2017

Excellent course! Really glad the final assignment incorporated TensorFlow.

By Igor P

Sep 12, 2017

Highly recommended to take before even look at TensorFlow or other packages

By Fallou T

Sep 10, 2017

This course resume several years of experience practicing Machine Learning.

By yugandhar n

Aug 25, 2017

It's great step, as usual intuitions and assignments are top notch to help.

By Ehsan M K

Aug 23, 2017

I enjoyed the course very much and learned some tricks I didn't know in DL.

By Tharanga N

Sep 15, 2023

This course definitely improved my eager to learn more about deep leaning.

By Lucas M

Aug 26, 2022

Very practical applications of neural networks and enhancement techniques.

By Fernando D U P

Aug 20, 2022

Es un excelente curso!! Recomendadísimo para todos los colegas ingenieros.

By Sajal H

Nov 13, 2021

Very Usefull Learning. I learn a lot of basic techniques from this course.

By Guy S

Apr 28, 2021

Excellent course. Brings clarity to many advanced topics in Deep Learning.

By Nosaybeh A P

Mar 21, 2021

It was great course and it could be better with more labs. Thanks Coursea.

By Daniel T

Aug 26, 2020

There is so much information that I would not be able to get anywhere else

By BRAYAN Z

Aug 9, 2020

Tenia videos que no se podian reprodicir por mas que cambiara de navegador

By Biswajeet S

Jul 29, 2020

It was a really insightful course, which explained the features very well.

By Peizheng L

Apr 20, 2020

这门课程给我带来了很大的帮助,不像很多的DL课程从理论入手,比较枯燥晦涩,这门课讲解深入浅出,可以给初学者非常直观的感受,是一门很棒的DL入门课程。

By Aehsas M

Apr 11, 2020

This was a great experience. Learned a lot. Thank you for this opportunity

By Surga K G

Mar 24, 2020

Really good and clear explanation of concepts and thanks to Andrew NG sir

By Ankit S

Jul 2, 2019

excellent course

gives best experience for the practical as well as theory

By Daniel C A

May 20, 2019

Great course with a lot of hand-on exercises... Great TensorFlow module...