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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
63,493 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:

2901 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2925 个评论(共 7,283 个)

创建者 Tanguy d L

Oct 4, 2017

Very good. Would have appreciated an even deeper dive in TF though.

创建者 André H

Oct 1, 2017

A seemingly difficult topic very good and understandable explained!

创建者 Gaston M S R

Sep 30, 2017

Fantastic Course as usual with Professor Andrew NG.

Congratulations!

创建者 Min S

Sep 5, 2017

Very good to learn tensorflow and some new optimization algorithms.

创建者 Leonardo A

Aug 31, 2017

Relly cool, but maybe we should implement the batchnorm (FP and BP)

创建者 Oğuz K Ç

Mar 14, 2023

This course give me lots of strong intuition about hyperparameters

创建者 Amin D

Mar 16, 2021

it was so useful with lots of practical tips and good explanations

创建者 Moritz K

Dec 27, 2020

Excellent course, well presented and good assignements and quizzes

创建者 Muhammad A K

Nov 29, 2020

The course is designed very well, tons of thanks to the professor.

创建者 Mohammad B A

Oct 26, 2020

I am so happy and I feel that now I am very good at deep learning

创建者 Musinguzi D

Sep 1, 2020

Enlightening course on how to improve your deep learning algorithm

创建者 Javier G M

Jul 19, 2020

A great transition from the first course. I strongly recommend it.

创建者 Deep S

Jun 21, 2020

Best course for deep learning as it explains in a very simple way.

创建者 Ayush D

Jun 5, 2020

These courses are helping me a lot in learning about deep learning

创建者 Mohamed M F

May 2, 2020

Amazing courses with dedicated assignments that are sooooo coool !

创建者 Koutaiba O A

May 2, 2020

I learned a lot of things in this course, thank you, prof, Andrew

创建者 Ritik G

Mar 22, 2020

The course is good and teach very high level concepts very easily.

创建者 Ryan

Mar 14, 2020

I love how the professor explains the math behind all the methods.

创建者 白浩驰

Nov 24, 2019

the lecture is really good, easy to understand

Homework is too easy

创建者 Abhijeet P

Aug 12, 2019

Great course for introduction to neural networks and deep learning

创建者 Julian H

Jul 14, 2019

Exceptionally clear and almost no errors in the training material.

创建者 Jun L

Apr 12, 2019

I'm very happy to finish the second course on this specialization!

创建者 Zijie F

Apr 10, 2019

The presentation is really detailed. Thank you for your teaching!!

创建者 Aatish S

Feb 19, 2019

Very good experience using tensor flow framework for deep learning

创建者 Krishna P G

Jan 1, 2019

Provides good overview of hyperparameters and methods to tune them