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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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2826 - 2850 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By chadwick y

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Feb 27, 2021

Useful course！ I'm one step closer to being a deep learning engineer

By Binod R

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Dec 29, 2020

It is a great course in deep learning with well-organized materials.

By Abdul B

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Oct 28, 2020

Good Learning point for the intermediate learners, to dig into depth

By Hassan I

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Sep 4, 2020

A well designed course to get deep intuitions about deep learning ;D

By S R

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May 13, 2020

Excellent course to have in depth knowledge in tuning hyperparameter

By Wajeeh A

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Apr 14, 2020

It was very handful approach toward optimization of neural networks.

By Shu Z

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Mar 18, 2020

Great course! I have learned skills and how to perform TsensorFlow.

By Swapnil K

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Dec 23, 2019

Good course for learning about the optimisation of a neural network.

By Dejan D

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Oct 8, 2019

Excellent course for learning basics of Hyperparameter optimization!

By Lambert K R

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Sep 10, 2019

Well structured course. it contains the essentials for deep learning

By Amin O

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Aug 22, 2019

Another awesome course by Andrew! BIG Thanks to Andrew and his team.

By Ravi

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Aug 17, 2019

A+. Very good and useful course to learn about optimizations in DNN.

By Dilok P

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Aug 9, 2019

Great course, I have learned a lot throughout programming exercise.

By Iain C

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Jul 17, 2019

Hard going sometimes but I'm beginning to understand more about NNs.

By pd

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May 5, 2019

This course make me understand the tuning of parameters much better.

By Ayush S

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Feb 15, 2019

One of the best curses on Hyperparameters,Regularization and others.

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.