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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
63,068 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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2426 - 2450 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ankit C

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Nov 4, 2018

Great course to learning about optimizing techniques for deep learning algorithms!

By Vipin K D

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Sep 27, 2018

Really wonderful course on Hyperparameter tuning, Regularization and Optimization.

By Yuqing C

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Aug 4, 2018

This course provided very practical skills in training deep network which is great

By Ahmed G

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May 11, 2018

In my opinion this course is the most important course in the whole specialization

By Dongliang Z

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Apr 21, 2018

It is worth watching again and again. So many good illustrations in deep learning.

By 周文强

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Mar 19, 2018

very useful ,i can use the skills in practice.make me understand the theory deeply

By Martin T

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Jan 9, 2018

A very well curse, For me the information of batch normalization is very important

By Ricardo B P

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Dec 19, 2017

Very useful insights on hyperparameter tuning and great introduction to Tensorflow

By E P

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Sep 21, 2017

Another excellent course.. learned what hyper parameters were as well as epochs..!

By Raul T

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Sep 16, 2017

It was great to have Batchnormalization and Adam optimization explained in detail.

By Fengxin Y

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Sep 3, 2017

learn how to tune the whole model and start to learn tensorflow! five star coures!

By Gonzalo A M

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Aug 22, 2017

Great Course. I learn a lot and it has been a great investment this specialization

By CVA V T T N

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Jan 28, 2023

So useful

Hands on learning, helpful homeworks and nice community

Thanks so much!!

By Naga K R

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Jan 13, 2022

This course is very nicely structured. Thank you for bringing this course to life

By Jie E L

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Jun 24, 2021

Understood how to improve model score through parameters and different techniques

By Ethan M

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Mar 19, 2021

Teacher is thorough and has a voice that can be understood at 2x or even 3x speed

By amir h z

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Dec 8, 2020

It was a great course, it would be better if you teach Tensorflow 2 rather than 1

By BlackPilled B

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Nov 9, 2020

wonderful course, learned so much, now time to use this skill in real world data.

By Maximiliano A R F

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Oct 11, 2020

Great course, a lot of techniques that improve your NN that is necessary to know.

By Harvinder y

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Sep 26, 2020

very explicit course for hyperparameter tuning for practical application based DL

By Simin F

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Aug 10, 2020

Andrew's lecture are vivid~ And the weekly assignments are really helpful for me!

By jagadish b

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Jun 1, 2020

It was a very good course, with good explanation of each parameters in each video

By Amit R

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May 24, 2020

The programming assignment should be updated. Pytorch framework can be used here.

By Satyajeet P

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May 11, 2020

Brilliant undoubtedly, felt nice to get my first hand on experience on Tensorflow

By Lee

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Feb 23, 2020

Provided a lot of insightful explanation to hard concepts from a intuitive level.