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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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63,492 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

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

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

筛选依据：

6701 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6725 个评论（共 7,283 个）

创建者 Samit H

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Jul 14, 2020

Very Good for knowing details . Few more practices in programming might help a lot.

创建者 Cat-zilla

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Jan 13, 2020

4 stars for the course's rich content. minus one for the overly structured projects

创建者 Deleted A

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Jan 7, 2020

Excellent course - However, the Tensorflow tutorial could be a little more thorough

创建者 emmanuel m

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Jan 31, 2021

Wish there was another weeks' worth of learning on tensorflow or more labs for it;

创建者 Gil K

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Apr 14, 2020

A lot of good topics, but a lot of tasks are irrelevant for todays practical world

创建者 VONGKASEM L

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Oct 19, 2018

some video lectures have some audio clips repeated, often at the end of the video.

创建者 Bryan L

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Apr 8, 2018

Good explanation of gradient descent w/ momentum. Nice introduction to TensorFlow.

创建者 Prasanna K

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Oct 6, 2017

Course content is intense. May be need more detailed videos/lecture on Tensor flow

创建者 Domagoj

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Dec 11, 2021

Some exercises are not clear enough, that is why 4 stars, overall it is 5 stars.

创建者 Ariel B

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Dec 16, 2020

Tensorflow 1 assignment should be updated to version 2

Otherwise very good course.

创建者 Krishna T

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May 11, 2020

Loved the way how Prof.Andrew Ng explained everything in such a simplified manner

创建者 Harsh B K

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Jul 29, 2019

Good Insights of hyper parameters with other techniques to improve learning rate.

创建者 JETTIBOINA V N D S R P

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Jul 3, 2019

Content was excellent and it was delivered by Andrew Ng sir in an outstanding way

创建者 NEERAJ T

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Dec 27, 2018

I thoroughly enjoyed this course. Presents the material in an easy to learn style

创建者 satyasai n

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Mar 20, 2018

they should have given more lectures on tensor flow but still it is a nice course

创建者 mike b

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Jan 15, 2021

The assignment teaches tensorflow v1 where I would have expected v2, Keras, etc.

创建者 Bezzecchi E

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Jan 7, 2021

Good understaning on why certains 'tricks' in nn tuning and regularization work.

创建者 Marwan S

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Sep 10, 2020

In my opinion,the tensorflow framework should have been set in a separate course

创建者 Martin B

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Aug 28, 2020

very good but TensorFlow requires more explanations especially in the last block

创建者 Luis E G A

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Nov 23, 2019

great course, last videos (except for frameworks ) were somewhat hard to follow.

创建者 Ran S

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May 17, 2019

More excersies on batch norm and hyper parameter search could have been usefull

创建者 成萧何

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Mar 26, 2019

A programming assignment about batch normalization and softmax will be helpful.

创建者 Enrique J S

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Sep 23, 2018

Very interesting to improve the foundations of neural networks previously learnt

创建者 udit b

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Mar 7, 2018

Not much ground covered on implementation of hyperparameter search in tensorflow

创建者 Muktanil D

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Jan 6, 2018

Great course, nice explanation of optimization techniques...too less TensorFlow.