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学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

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63,493 个评分

课程概述

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....

热门审阅

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

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

筛选依据：

3626 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3650 个评论（共 7,283 个）

创建者 Mert Ç

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Mar 22, 2020

Perfect. Golden quality. Thanks to Andrew Ng.

创建者 Abhishek S

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Feb 18, 2020

very helpful must join and do all questions !

创建者 Madhu M

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Jan 1, 2020

A course to gain knowledge on hyperparamters.

创建者 bala K K

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Nov 22, 2019

Great Lesson, learned a lot. Thanks, Coursera

创建者 fbrand

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Oct 22, 2019

Just miss the notes at the end of the videos.

创建者 Tej B

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Oct 12, 2019

Learned a lot of about hyperparameter tuning.

创建者 Kornel S

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Sep 30, 2019

Great course, interesting and advanced stuff!

创建者 Sami A

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Sep 23, 2019

Great course .... introduced us to Tensorflow

创建者 Sedat K

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Aug 26, 2019

Great course for understanding Deep Learning!

创建者 Rudra P

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Aug 16, 2019

Thank you. It helped me a lot to learn a lot.

创建者 Barka T

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Jul 11, 2019

Really great and smooth transition tensorflow

创建者 Simon T

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Jul 3, 2019

Great as always when learning from Andrew NG!

创建者 Yuanzhan W

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Jun 12, 2019

A good walk-through of hyper-parameter tuning

创建者 Shivam S

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Jun 10, 2019

Very Detailed Course. Lots of stuff to learn.

创建者 Khaled J

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May 21, 2019

Excellent course with practical applications!

创建者 Вадик Л

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May 6, 2019

Mmmmm, very interesting and powerfull course!

创建者 Samkit J

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Apr 28, 2019

Great course. Excellent for concept building.

创建者 Sangeet K

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Apr 19, 2019

It's really a great course by a great mentor.

创建者 Miguel A A U

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Apr 3, 2019

Nice hints on how to improve DNN performance!

创建者 barryhf

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Apr 1, 2019

It is a privilege to learn from Professor Ng.

创建者 Rajat C

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Feb 18, 2019

Brilliant way of covering a complicated topic

创建者 Robert M

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Jan 29, 2019

Really enjoyed the last section on TensorFlow

创建者 rajesh t

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Jan 22, 2019

Very interactive and very clear explanations.

创建者 Sarfaraz K

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Jan 18, 2019

Very well organized course by a great teacher

创建者 Uğurcan A

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Nov 2, 2018

I have better intuition about Neural Network.