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

4.9
stars
63,245 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

XG

Oct 30, 2017

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.

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2851 - 2875 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Xiaohui N

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Jun 24, 2018

Very good! Now i know what tensorflow is and will use it in my work.

By Mohammed M H

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Apr 7, 2018

Expected more items on tensorflow. However, its satisfactory enough.

By Eftychios V

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Feb 3, 2018

Great material, notebooks really detailed, enjoyed the entire course

By Zak F

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Dec 3, 2017

Enjoyable coverage of further optimization techniques and Frameworks

By artprog

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Oct 26, 2017

Awesome!!!!!!!!!!!!!!!!!!!!!!! I will recommend it to my classmates.

By Anthony S

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Oct 1, 2017

great content for the price of dinner! Thank you Andrew and staff!!!

By globalflea

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Sep 10, 2017

Enjoyed the course thoroughly - very clear explanations of concepts.

By Jeff O

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Aug 31, 2017

Great class with excellent explanations. Labs are fun and relevant.

By Victoria G

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Aug 28, 2017

It is so excited to learn with so many people. See you in next part.

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.