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

4.9
stars
62,825 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

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.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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6576 - 6600 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sébastien C

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Nov 19, 2020

This is a good overview of optimization techniques. I think the exercises are sometimes too guided.

By Gopal K

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Jul 15, 2020

A lot things I got to learn.Also the worksheet were properly designed to clear any doubt if one had

By Apoorv A

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Feb 4, 2019

I think things could have been more difficult. Currently it is way to easy to pass the assignments.

By Sajal D

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Sep 13, 2020

an awesome course.....one can know more about deep learning from scratch by enrolling this course.

By Potnuru A

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Jun 18, 2018

This course provides more tips and ideas toward deep learning and introduces tensorflow. Worth it.

By Faniry R

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Mar 14, 2018

Best explanation ever! Exercises should be made available even without a possibility of submission

By Tirumala M

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Jan 23, 2018

Well explained the need of regularizations. Also python was best language to get assignments done.

By Siddhi V T

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Sep 19, 2019

An awesome course for someone who wants to learn how to tune the hyperparameters of their models.

By Alexey V

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Mar 18, 2019

Ran into bugs with some assignments, for example week 7 was not correctly calculating final model

By Tamás J

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Jun 14, 2018

Jupiter Notebook fails too offen! I had to close the window, start again, which is very annoying!

By Chen X

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Mar 27, 2018

It's fun they assume you know human error rate or optimal Bayesian. It's very rare in real world.

By Alejandro R

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Oct 26, 2017

I miss the end of video quizzes, but can't rate it lower than 4 because this course is excellent.

By Prasad D

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Jul 1, 2020

Some examples to be solved manually would have helped get a better understanding of the concepts

By Ayushman K

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Apr 24, 2020

Learnt a lot of new things. Only complain i have frmo this course is the use of Tensorflow 1.x .

By Digvijay R

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Jan 18, 2020

perhaps more practice of tensorflow is required. The tensorflow module also needs to be updated.

By Isaraparb L

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Jul 15, 2018

Some of the math may be hard to grasp, but the course gives a lot of useful information overall.

By Amine B

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Apr 25, 2018

Great course, very complete and instructive! The programming exercices should yet be less guided

By Shobhit K

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Aug 7, 2022

I felt Tensorflow coverage was fairly limited and more practice of Tensorflow would have helped

By Yasod S G

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Aug 3, 2020

It is better if you can provide some proper documentation for the TensorFlow coding. (syntaxes)

By mandar k

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Jul 29, 2020

Great course, learned about different hyperparameter in neural networks and their optimization.

By sathwik m

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May 9, 2020

It was a great course.

I hope we are going much "deeper" in deep learning in the next courses !

By Sebastian R C

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Mar 22, 2018

I think the material is quite basic, since it is an specialization, we could go a little deeper

By Ashish C

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Jun 25, 2021

week 3 was quiet tedious and a more explanation about tenser flow would have been more useful.

By Nabham G

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May 22, 2020

Deep learning is so Deep X'D. I got to learn so many new stuff which I wasn't aware of before.

By SHAHAPURKAR S M

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May 20, 2020

The batch normalization part needs to be more comprehensive. Else, everything is just superb !