Chevron Left
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
63,489 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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:

1301 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1325 个评论(共 7,283 个)

创建者 mohamed a M

Apr 30, 2020

a little harder than the first course, there are many details but Mr Andrew is just awesome as always thanks for making this course available

创建者 James H

Feb 19, 2020

Excellent instruction from Dr. Andrew Ng. He did an excellent job show mathematically and by coding how a deep neural networks step by step.

创建者 Nikhil N

Feb 12, 2020

Amazing course! Really helped me to understand the intricacies behind neural network workings and how to exploit them to improve performance.

创建者 Pradeeshwar J

Dec 16, 2019

This course really helps with improving neural network as suggested by the name. Tensorflow basics are also taught in this course at the end.

创建者 Stephen V

Jul 23, 2019

DEAR TEAM OF DEEP AI SPECIALISATION AND DEAR DR. NG !

THANK YOU VERY MUCH!

I'VE USED YOUR NOTEBOOKS AS A TOOL FOR BUILT MY OWN NEURAL NETWORKS

创建者 bryanyau

Jun 20, 2019

Through tackling more advanced concepts of neural network optimization, the course actaully runs you through the fundamental concepts as well

创建者 Elvis S

Jan 18, 2019

Loved this part of the code... it allowed me to understand more about the optimization and regularization tricks such as RMSprop and Dropout.

创建者 Ranfi J C d A

Oct 29, 2017

Este curso es muy importante si lo que quieres es, no solo aprender a crear Redes Neuronales, si no hacerlo de una manera eficiente y rápida.

创建者 amir h r

Nov 16, 2022

it was such a fantastic course for me.

the programming assistance was amazing and of course difficult.

thanks mr. ng for providing this course

创建者 权泽平

Sep 27, 2022

A very good course. A small drawback: The three parts are somewhat seperate, so it's a good idea to give an overall review quiz in the end.

创建者 Manuela R

Jun 17, 2021

I think the course is very well planned, it is clear, easy to follow, the exercises help to understand the concepts. I totally recommend it.

创建者 Ajit B

Jul 9, 2020

Very nice course! I wish there was also a tensorflow course as a companion. Thank you for demystifying neural networks and their frameworks.

创建者 Suhail M

Jun 23, 2020

I just do not have words to express what i am feeling now ,, definitely confident and more confident to m move ahead in this specialization

创建者 Aniruthya

Dec 1, 2019

Good material and course content and very neatly organised. I hoped more would be covered on topics pertaining to different regularisations.

创建者 Deleted A

Jul 9, 2019

Top course which teaches all the basics and contemporary neural networks approaches! Well structured, good content, and some solid practice.

创建者 Hichem B

Mar 22, 2019

Very good course, with most importantly intuitions given and also some (superficial) theory underlying the principles of NN and other stuff.

创建者 Parth A

Jul 20, 2018

Amazing course! Thanks for explaining the practical aspects of modeling. Looking forward to learning project structuring in the next course.

创建者 jyoti p m

Jun 4, 2018

It was one of the most complex, yet so lucidly explained topics in deep learning. Kudos to Andrew Ng for pulling this of with such elegance.

创建者 Jialie Y

Jan 18, 2018

Very good course, the lectures is about the basic Technics tghat will speed up and optimize the DNN, also have an introduction of Tensorflow

创建者 Anand G

Nov 21, 2017

After the introduction to the DL and AI world, it was great to understand the things that make it robust and to apply it in a real scenario.

创建者 Răzvan I

May 1, 2022

I feel really satisfied about the number of optimizations I learned as well as the mathematical intuition behind every optimization method

创建者 Kalpak S

Oct 14, 2020

An Excellent course to dive into the hyperparameters of the Neural Networks. Provides great hands-on expertise and builds on the intuition.

创建者 MR. S R S

Sep 4, 2020

Insightful peek into the world of hyper parameters tuning and batch normalization and a good introduction to Tensorflow.

highly recommended!

创建者 Md. W T R ,

Aug 20, 2020

Again a big thanks to Mr. Andrew Ng and his team for helping me achieving the knowledge.. Hope I will get a big return out of this course..

创建者 김홍숙

Jul 26, 2020

It's full of practical knowledges that can be useful but never touched in other courses.

It is MUST TO KNOW, if you're practioner on DL, ML.