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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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2851 - 2875 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Biniyam A

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Apr 1, 2023

One of the most helpful and important course in this specialization

By Zain D

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Oct 26, 2022

Amazing. Suggestion adding some program practice for Batch Norch.

By Đinh D

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Oct 18, 2022

There is no words to say about this course. Excellent explanation!

By Mirko I B T

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Feb 10, 2022

Muy buenos pequeños pasos para llegar a realizar a metas superiores

By Victor A

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Jan 16, 2022

It was amazing and the ending was great! Thank you Andrew and Team!

By Meet P

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Jul 9, 2021

Deep learning specialization is perfect for learning Deep learning.

By Yu G

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Apr 24, 2021

Great. I learned skills in using StackOverflow through this course.

By Muhammad U J

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Mar 7, 2021

Great course. Clear and easy to understand explanations. Thank you

By Boris C B

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Nov 1, 2020

GReat knowledge!, powerful ideas to boost the capacities of the NN.

By Juan P A C

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Sep 22, 2020

Excellent lectures and exercises. Great introduction to TensorFlow.

By 邓蓬月

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Sep 13, 2020

This courser is very good for someone who learn the neural network.

By Mazhar A

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Sep 3, 2020

Excellent Course for deep learning and neural network optimization.

By Ari W R

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Aug 23, 2020

that is cool material for me talk about part of basic deep learning

By Daan v d M

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Jul 12, 2020

Excellent content. Great insights in the working of a deep network.

By Elias A

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May 27, 2020

Always the best material from Prof. Ng. I can't recommend it enough

By Siddam M S

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Apr 19, 2020

It's a quite good course. I boost me after each and every tutorial.

By waleed h

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Feb 12, 2020

I was a great learning experience thanks team and specially Andrew

By BHAVESH S

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Dec 28, 2019

Learned a lot about the neural networks and optimization techniques

By janaki r

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Dec 2, 2019

Keep Educating

Thank You for giving me a chance to enroll the course

By Srikanth S

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Nov 25, 2019

Would be 6 stars if he talked about neural architecture search too!

By Apperson H J

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Aug 15, 2019

A great deal of practical advice and methodology. Great Lectures.

By Dittaya W

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Aug 5, 2019

I got some guidelines to start tuning parameters on my own network.

By Tian Q

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Nov 15, 2018

Very helpful course for starter in machine learning and Tensorflow!

By Arjun B

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Nov 10, 2018

The best course on hyperparameters with every detail well explained

By Henry G W V

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Oct 28, 2018

Some of the numbers in the programming assignments are out of date.