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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization に戻る による Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization の受講者のレビューおよびフィードバック



This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....



Dec 24, 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\n\nThanks.


Oct 09, 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


Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization: 151 - 175 / 4,261 レビュー

by Zoya

Jan 26, 2019

Awesome course! Learned a lot! :D

by Yash S

Feb 07, 2019

i think the systematic method for hyperparameter tuning was the best part!

by Mallikarjun C

Feb 07, 2019

Excellent Practical advice on Improving Deep Neural Networks, Interesting talk with Heros of Deep Learning: Yoshua Bengio and Yuanging Lin and good programming exercises including nice introduction to using TensorFlow

by Max B

Nov 21, 2018

Great course, highly recommended!

by Suneel D

Nov 20, 2018

Dhanyavadamulu! Much needed course to every AI Developer.

by 苏庆祝

Nov 22, 2018

very nice course.

by zhuziye

Nov 20, 2018


by Chenna G

Nov 20, 2018

Excellent Course.. Andrew Ng is great.

by Ankur T

Nov 21, 2018

word is not sufficient signup and experience it. For a deep learning beginner who already have math background can easily understand concept behind it but for implementation you need to refer extra materials on internet and book too. Andrew Ng explain only concept and recipe but for practice you will struggle hard.

by Jaime R

Nov 20, 2018

Very practical step from the previous one. Learning to use Tensor Flow was particularly interesting

by Angela S

Nov 20, 2018

This course is a big part of the meat of the Deep Learning specialization. I found both lectures and exercises gave me valuable practice at grappling with the actual process of training neural nets.

by Soumi S

Nov 20, 2018

very very useful

by Bhaskar D

Nov 20, 2018

Excellent course!

by twice154

Nov 07, 2018

very good lectures

by mvpzhao

Nov 06, 2018

very good.

by Pham X V

Nov 06, 2018



by Sarah Z

Nov 07, 2018


by Chandu P

Nov 07, 2018

Amazing course, well structured. Learned a lot about tuning parameters and different optimisation algorithms. Looking forward to complete specialization. Thank you Coursera and Andrew Ng Sir.

by David A M

Nov 08, 2018

A very rich course, I've learned a lot.

by Tejas S S

Nov 08, 2018


by Stefan K

Nov 23, 2018

Very good course!

by Ganesh V K

Nov 25, 2018

Excellent Course

by Ibrahim H

Nov 24, 2018

Very well balance between theory and hands-on assignments.

by Maxim D

Nov 25, 2018

Wery usefull and clear

by Laurence C

Nov 23, 2018