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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

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

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:

2001 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2025 个评论(共 7,283 个)

创建者 闫胤兆

Dec 5, 2017

This course tells more method to tune your NN more efficient. It's very useful to apply math to DL.

创建者 Lluís P

Nov 27, 2017

All clear and very handy. It helps to understand some of the low-level insights of NN. Recommended.

创建者 Souvik S B

Nov 3, 2017

Excellent course. Really helpful. The way it is designed and taught makes the understanding better.

创建者 Rinat R

Oct 1, 2017

Excellent course by Andrew Ng, who has the special gift of turning everything into clear and simple

创建者 Eugenia I

Sep 6, 2022

Learned so much on how to optimize Neural Networks. It's an excellent course, highly recommended!

创建者 Israel C

Jun 8, 2022

I like that you provide some short text with the theory behind each concept instead of just videos

创建者 nastaran s

Sep 6, 2021

I learned a lot in this course. i will recommend it to anyone who want to learn about deep leaning

创建者 Arjun P

Jun 8, 2020

Got to learn a lot about tuning hyperparameters and various optimization algorithms other than GD.

创建者 Biswajit D

May 27, 2020

It's an excellent course, with coverage of very important topic as well as starting to tensor flow

创建者 Sajib K S J

Mar 31, 2020

I am lucky enough to get financial aid. Thank u courSera..Thanks a lot..

NG Sir is a masterclass..

创建者 Wooshik K

Feb 2, 2020

Thank you very much for giving me an opportunity to learn every aspect of deep learning so easily.

创建者 Prakash C

Oct 9, 2019

Great course to get intuitive understanding of optimizers, regularization , hyperparameter tuning.

创建者 Melvin M

Aug 11, 2019

Complete, addictive and professional course. It covers every aspect from theoretical to practical.

创建者 Shringar K

Jul 28, 2019

Very well explained with real case scenarios. Shall recommend to anyone interested in learning DL.

创建者 Jack S

Jul 7, 2019

Great Class! It's nice to have some experience on frameworks like Tensor-flow by the end of class.

创建者 Rajnish K

May 29, 2019

this course is good for building foundation and start a career in data science and computer vision

创建者 Akshay P

May 29, 2019

Very In-depth course and useful insights provided by Andrew. The way of explanation is really good

创建者 Rohan G

Feb 10, 2019

Gives quite an insight regarding all the hyper parameters and how to use them to get a good model.

创建者 ken A B

Oct 25, 2018

great depth of approaches for the various methods for dealing with bias and variance in DNN models

创建者 saquib n h

Jan 30, 2018

Excellent programming assignments, Quizs and very properly made to teach very important concepts.

创建者 Ismael

Dec 4, 2017

I would love if we were give a whole project to write it from scratch and apply all the principles

创建者 Gokhan A

Sep 15, 2017

I really liked the discussion of different SGD methods, and the smooth introduction to Tensorflow.

创建者 Gowri S P

Jul 28, 2021

Following Andrew sir all the way from ml course. He gives a lot of intuition, Superb explanation.

创建者 Kevin R R M

Sep 26, 2020

Great course, I learned valuable topics in Regularization, Optimization and Hyperparameter tuning

创建者 Vikash S

Sep 6, 2020

An excellent course for anyone who wants to learn about how to design a good deep learning model.