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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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3101 - 3125 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ulugbek D

Sep 7, 2019

Was very easy to follow. Straight-to-the-point instructions!

By Rahul G

Jul 8, 2019

It helped me to gain deeper understanding of neural network.

By Sumedh K

Jun 12, 2019

Amazing course. Put in a lot of work for this one. Loved it.

By Shravan K

Jan 27, 2019

Thoroughly enjoyed this course. Thanks very much Andrew sir!

By RAMON D R S

Jan 15, 2019

Un curso muy completo para introducirte a un nivel ams de DL

By Vikas J (

Sep 7, 2018

It is the must taking source . Recommended. Helping me a lot

By Ismael E

Aug 27, 2018

Amazing course from Andrew as usual !!! Highly recommended !

By Shuangqi

May 13, 2018

Very clear course for new learners to know about the concept

By Bourne

Apr 22, 2018

课程制作水准确实没的说,绝逼的超一流。最后的大作业,不知道是不是seed值不同,最后的精准度和预期不一样,但是也是100

By PLN R

Jan 27, 2018

Amazing course! Looking forward to some more great learning!

By David C

Dec 10, 2017

Excellent course, with an excellent teacher, I recommend it.

By Rishabh A

Nov 30, 2017

Andrew Ng is awesome. He is changing the world of education.

By Kadir K

Oct 13, 2017

That was a great course from Andrew Ng. Thank you very much!

By Bharat J

Oct 9, 2017

Must take for all aspiring as well as current data scientist

By Girish

Oct 1, 2017

Very practical and assignments give you a lot of confidence.

By Mengyun Z

Sep 11, 2017

Love the course which have tensor flow as the final project!

By Xiaohu Z

Sep 6, 2017

I found this course especially clear, useful and thoughtful.

By Junke H

Sep 1, 2017

Nice course! Learned a lot about some tricks in training NN.

By Farzad E b

Aug 31, 2022

I learned a lot from this course, it was a great experience

By Jinyuan G

Dec 9, 2020

Very Helpful for beginner, practical skills can be trained.

By 임준영

Nov 2, 2020

감사합니다. 제가 딥러닝을 어려워했었는데, 알고보니 강의해주시는 분들의 차이였을줄이야..ㅎㅎ

잘 배웠습니다.

By Daniel L

Sep 19, 2020

Really nice course!! It was good to learn about a framework

By Subhankar N

Aug 11, 2020

very nice clarification and implementations. Thank you all.

By Vinay S

Aug 9, 2020

As always, Everything is best about you sir. Andrew ng sir.

By José A T T

Aug 7, 2020

It´s so incredible how Andrew explain every lesson smartly!