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
63,492 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:

1901 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1925 个评论(共 7,283 个)

创建者 Jabir K

Jul 5, 2023

A very well organized course to understand DNN, hyperparameter tuning, regularization, and optimization

创建者 GAUTAM K

Jun 26, 2022

I like the couse taken by andrew Ng sir. It helps me lot to have better understanding on deep learning.

创建者 Mario A C F

May 9, 2021

Great course for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

创建者 Pablo M M

Oct 29, 2020

The Tensorflow part was great! I could deep dive into the underlying operations of tensor calculations.

创建者 Anfernee

Jul 6, 2020

This course refreshed my memories of many important concepts that I learned in my university DL course.

创建者 Itamar d P R F

Jun 28, 2020

Really good course, quite challenging math, but excellent to understand how Deep Learning really works.

创建者 Sarith D M

Jun 16, 2020

Great course. Thank you professor Andrew Ng and teaching assistants Kian Katanforoosh, Bensouda Mourri.

创建者 Quentin Q

May 24, 2020

Very helpful course to gain knowledge of deep learning by implementing various optimization algorithms.

创建者 Faisal N

Mar 14, 2020

great course, it offers quite a pragmatic style and gives insights for Keras and tensor flow framework.

创建者 Dean M

Jan 8, 2020

Great course with a lot of practice assignments. I think there needs to be more practice on TensorFlow.

创建者 Chloe L

Sep 3, 2019

I really like this introduction to TensorFlow! Great explanation and continuation from previous module.

创建者 Guru C B

Jul 7, 2019

Excellent Course.. Though I need to listen to multiple times and practice before I get mastery over it.

创建者 Rahul S

Mar 20, 2019

Amazing explanation and examples made the course so much interesting, completed a week course in a day.

创建者 Jayatu S

Jan 26, 2019

Wonderful..it was tough to manage with office but somehow managed. Andrew and his team are magnificent.

创建者 Emmanouil K

Dec 25, 2018

Wonderful course! You do not need it but having seen some basic linear algebra and calculus would help.

创建者 Advait P

Sep 16, 2018

Very informative, also I loved how a lot of mathematical concepts were introduced in a very simple way.

创建者 Fernando A

Jul 22, 2018

This is an amazing course that I highly recommend for those who are starting with deep neural networks.

创建者 Mamoon Y

May 3, 2018

Exceptional course - love how we used numpy to master the fundamentals and then jumped into tensorflow.

创建者 Jialin Y

Apr 3, 2018

Great course, I especially like the lectures on different optimization algorithms used in deep learning

创建者 Steven B

Jan 7, 2018

Simple because well explained. A great starting point for someone seeking clarity in an esoteric field!

创建者 Nitin K

Nov 21, 2017

Great Course. Really helped me understand the tuning process and the various deep learning frameworks..

创建者 Pratik V G

Sep 26, 2017

As before, the assignments could be made so as to reduce the commented helps and spoon feeding. Thanks.

创建者 Harshavardhan S

Aug 20, 2017

A nice course which gives several practically useful details and insights on training neural networks!!

创建者 Mohammad H

Nov 22, 2023

I am glad to finish this course and I need this information to upgrade my skills to improve the model.

创建者 Dhanesh G

Jun 9, 2023

I am very confident about Regularization and batch normalization. It helped me understand them better.