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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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2676 - 2700 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Muhammad A K

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Aug 31, 2017

Excellent add on to the first course "Deep Learning and Neural Network"...

By Marco M

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Mar 23, 2023

Concise introduction. Notebooks used for labs are really well documented.

By Aliya A

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Jun 26, 2022

it give us the idea how to improve our model by tunning the hypermerater.

By Josué S C P

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Jul 22, 2021

Amazing course, have everything to start deep neural networks developing.

By Florian C

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Jan 8, 2021

Best resource for learning about deep learning I have encountered so far!

By Jean-Michael B

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Dec 6, 2020

This was exciting to learn the tuning of parameters and using tensorflow!

By Juan W

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Nov 28, 2020

it is highly recommended for beginners as a first step into deep learning

By Ameer H

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Sep 21, 2020

Again Andrew is rocking and giving you some useful tips in deep learning.

By Fabian Z H

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Sep 4, 2020

As always, you can expect a high quality course from Professor Andrew Ng.

By Kush S

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Jul 8, 2020

The techniques discussed are easy to follow & intuitive most of the times

By Pradipta S

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May 27, 2020

It was a very good course. It has also help me to increase my confidence.

By Efraín M M

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May 23, 2020

Excellent foundations, tips and hands-on excercises for parameter tuning!

By Arnab B

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May 19, 2020

Awesome Course , just loving this Coursera and Sir Andrew Ng at his best.

By Kunal K

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Apr 12, 2020

Awesome course_by one of the best faculty in the field of Neural networks

By Shashi N I

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Feb 24, 2020

Excellent course. Practical without much compromise on theoretical depth.

By Amir K

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Nov 25, 2019

excellent and useful Course , thank you from Andrew NG and your Coursera

By Christopher W

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Aug 30, 2019

Another great course for furthering what was covered in Specialisation 1!

By RUIFANG L

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May 15, 2019

I've learned lot of knowledge about Deep Neural network from this course.

By Nilmadhab D

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Mar 14, 2019

Very addictive course. A lot of fun. Prof. Andrew Ng is just outstanding.

By Yingyu F

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Feb 9, 2019

Tensorflow I will to use @ instead of tf.matmul but failed in grading....

By Paul F

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Jan 27, 2019

Great learning experience. I'm going to keep going. I want to learn more.

By Andrei K

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Dec 13, 2018

Very good. I've improved my knowledge in understanding and tuning! Thanks

By Rabindranath A

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Nov 1, 2018

Extremely useful summary of techniques. Well structured and to the point.

By AP S ( U

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Sep 12, 2018

Amazing experience,Andrew really is a great teacher!. Highly recommended.

By Michał K

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Aug 5, 2018

Great course, It really helped me understand how to regularize my project