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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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2726 - 2750 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 陈淼博

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Dec 18, 2018

NICE COURSE!It takes my a lot of time, but it indeed deserve our effort!

By Echedey L

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May 28, 2018

Awesome course to learn how to work with hyperparameters the proper way.

By Ryusuke M

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May 28, 2018

Basic concepts for tuning hyperparameters learned in practical examples.

By Dhinesh D

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Apr 3, 2018

Such a wonderful course, no one can the material simpler than Andrew Ng.

By wday

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Jan 11, 2018

the course gives me many knowledge of how to tune my deep neural network

By Shevchenko

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Dec 27, 2017

Very good course! Thanks for well prepared and good structured material.

By Jiaqi F

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Nov 4, 2017

The tips can help a lot to improve the performance of the NN algorithms.

By dawei h

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Oct 22, 2017

this course gave me better understanding of many concept in deepLearning

By Hamlet B

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Sep 19, 2017

Finally got to understand how to use TensorFlow. This is powerful stuff!

By Yaning Y

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Sep 15, 2017

Great!! Suggestion: Should left more for us to write in the assignments.

By Laurent J

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Aug 17, 2017

A dense course packed with useful techniques on how to fine tune your NN

By Cristian M V V

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Mar 5, 2021

Really advanced knowledge taught in a very simple and straight forward.

By Gulam H W ( W

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Feb 13, 2021

I have learn many thing in this course. Thank you vary much to the team

By Deleted A

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Jan 14, 2021

Nice lectures and the notebooks improved my understanding of each topic

By Kateeba D

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Sep 18, 2020

This is the best course interms of tuning and selecting hyperparameters

By aman g

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Aug 10, 2020

Simply its the best course to understand how to make your model better.

By Adeel Z

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Aug 3, 2020

Great course to understand the hyperparameters for Deep Neural Networks

By Elias M

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Jul 5, 2020

Great flow of the course and materials. I hoped it to be Tensorflow 2.x

By Pratik H

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Jun 12, 2020

Got to learn various Optimization Algorithms and the use of Tensor Flow

By Kushagra S 4 B M E I V

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Jun 5, 2020

interactive nature of learning and implementing makes the course great.

By CHANDRESH M

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May 2, 2020

Teaches the maths and how to implement the important parts from scratch

By 1

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Apr 30, 2020

A well-created course. A must course for all deep learning enthusiasts.

By Amandeep S

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Apr 20, 2020

A great buildup on the first course, Very good explanation of concepts!

By emmette

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Apr 18, 2020

This is a great overview of how to optimize neural network performance.

By Xiangyu P

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Feb 18, 2020

Very clear explanation. Carefully designed practices. Wonderful Course!