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

4.9
stars
63,156 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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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2901 - 2925 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Deep S

Jun 21, 2020

Best course for deep learning as it explains in a very simple way.

By Ayush D

Jun 5, 2020

These courses are helping me a lot in learning about deep learning

By Mohamed M F

May 2, 2020

Amazing courses with dedicated assignments that are sooooo coool !

By Koutaiba O A

May 2, 2020

I learned a lot of things in this course, thank you, prof, Andrew

By Ritik G

Mar 22, 2020

The course is good and teach very high level concepts very easily.

By Ryan

Mar 14, 2020

I love how the professor explains the math behind all the methods.

By 白浩驰

Nov 24, 2019

the lecture is really good, easy to understand

Homework is too easy

By Abhijeet P

Aug 12, 2019

Great course for introduction to neural networks and deep learning

By Julian H

Jul 15, 2019

Exceptionally clear and almost no errors in the training material.

By Jun L

Apr 12, 2019

I'm very happy to finish the second course on this specialization!

By Zijie F

Apr 10, 2019

The presentation is really detailed. Thank you for your teaching!!

By Aatish S

Feb 19, 2019

Very good experience using tensor flow framework for deep learning

By Krishna P G

Jan 2, 2019

Provides good overview of hyperparameters and methods to tune them

By Can K

Jan 1, 2019

This course is helping me a lot. I am an undergraduate researcher.

By Aishwarya

Jun 21, 2018

Brilliant tutorial- i thoroughly enjoyed studying for this course.

By Sudhanshu S

May 26, 2018

Awesome as expected. Going to complete the entire specialization!!

By 王鹏飞

May 12, 2018

Thank you for sharing this class, it is so useful and interesting!

By g1no

Jan 2, 2018

Beautifully explained with thorough content. I love these courses.

By Jebakumar S

Dec 4, 2017

Learnt a lot about tuning the hyper parameters of a Neural Network

By Sumanta M

Nov 28, 2017

Extremely well organized course. Nicely explained, clear exposure.

By Eric

Nov 1, 2017

A very detailed course for neural network tuning and optimization.

By Justina D

Oct 29, 2017

Very interesting and usefull course, easy to follow and understand

By Tomasz S

Sep 15, 2017

Just as the first course in series - excellent introduction to NN.

By Sarat C V

Sep 13, 2017

A well taught course by Andrew Ng; I would recommend it to anyone.

By YoungGun Y

Aug 28, 2017

Great balance between theory and practice. Thanks for the lecture.