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返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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:

1851 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1875 个评论(共 7,283 个)

创建者 dunel s

Mar 18, 2018

my thanks to andrew ,my family and myself.I think what i studied will make me go further on my dream road.

创建者 Daniel E

Nov 1, 2017

Thank you for a well designed course with alle practical information you need to improve your NN Training!

创建者 Elena P

Aug 24, 2017

Wealth of tips and techniques from an experienced team with valuable insights to share. Excellent course.

创建者 Joshua S J L

May 6, 2023

Thank you Andrew Ng. The course is comprehensive and covers a wide range of spectrum of essential topics.

创建者 Sumaya A

Apr 7, 2021

Andrew is a very sophisticated professor, and I will not miss the chance to have another course with him.

创建者 chandu G

Dec 19, 2020

Thank you very much Prof Andrew. Thanks a lot to team coursera for giving me the key knowledge to future.

创建者 Elma E T

Jun 23, 2020

The course was well paced and well timed. The intuition behind different aspects were taught really well.

创建者 Nikhil K

Jun 17, 2020

Awesome! very good pacing out of material, engaging instruction and super interesting assignment as well!

创建者 Anand S

May 27, 2020

Good second course. still lot more to learn. want to finish up asap and start working on Kaggle projects.

创建者 Atharva T

Apr 13, 2020

Good Course. One should take in the future if one wants to know how to better tune neural network models.

创建者 Kévin L

Apr 2, 2020

Very interesting course with lots of advices to tune hyper parameters and optimize the learning process !

创建者 Almas M

Mar 4, 2020

this course gives broad knowledge about optimization of neural networks and also hyper parametric tuning.

创建者 Zhejiayu M

May 3, 2018

Good Introduction to the most important part of the deep learnig - optimizations. Learnt a lot from this.

创建者 Wanheng Z

Apr 1, 2018

Awesome class!Just learned a lot useful optimizing methods which are taught really vividly and throughly.

创建者 Vivek K

Mar 8, 2018

Such an awesome course. Andrew Ng is the teacher everyone wishes to have during school and college days..

创建者 robin c

Nov 28, 2017

Exceptionnel content ! Andrew is clear as always and we get a very good intuition of how everything works

创建者 Brian H

Oct 16, 2017

a great course to progress from building neural networks from scratch to trying deep learning frameworks.

创建者 Ronnie K

Oct 16, 2017

Very good. A few typos and mistakes in the instructions on the final programming assignment (TensorFlow).

创建者 Raymond D

Oct 14, 2017

Really well structured course. Learned a lot about Searching HyperParameters and optimization procedures.

创建者 Sabana G

Mar 30, 2021

complete and sufficient subjects and amazing explaining, also great lab which improves one step forward.

创建者 Karl G

Feb 17, 2021

I wish we would go straight into Tensorflow 2 instead of learning Tensorflow 1 which is kind of useless.

创建者 Doug N

Jan 10, 2021

Fantastic code snippets and explanations, steadily building upon understanding as the course progresses.

创建者 Md. M H

Oct 10, 2020

It's a great experience. I had huge lacking based on neural network. Sir described everything so nicely.

创建者 Bedirhan Ç

Jul 15, 2020

It s a good introduction to the tensorflow and gives detailed information about the optimization methods

创建者 Farhan A R

Jun 20, 2020

The course is good.

The first week was very long. Could you split it in two and add some more exercises?