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

學生對 deeplearning.ai 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的評價和反饋

4.9
57,960 個評分
6,669 條評論

課程概述

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....

熱門審閱

AS
2020年4月18日

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

NA
2020年1月13日

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

篩選依據:

6276 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6300 個評論(共 6,592 個)

創建者 Erhan B

2017年10月20日

Assignments are mostly copy past from instructions

創建者 Agnes

2017年10月13日

it is very useful for the processing of modelling.

創建者 ZHE C

2017年8月17日

include key idea on the tuning of hyperparameters

創建者 pranav b

2020年1月28日

Best Course For Learning Hyper parameters Tuning

創建者 윤동준

2019年3月7日

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.

創建者 Shoaib Z

2020年12月29日

1st and 2nd weeks are still somewhat confusing.

創建者 bahri d

2020年11月25日

Teorik anlatım harika ama uygulama kısmı eksik.

創建者 JEROME D

2020年9月16日

More than 10 videos is too much for just 1 quiz

創建者 Nima F

2020年6月19日

amazing course with an amazing teaching method.

創建者 santosh

2020年3月22日

Excellent course. Bit tougher than first course

創建者 Kousik R

2019年6月12日

There are so many grader problems please fix it

創建者 Abhijith A

2018年10月1日

Good course, could have done more on tensorflow

創建者 abiran r

2020年7月12日

i learn a lot of things related to tensorflow

創建者 Mike R

2019年11月2日

Tensor flow should be explained in more detail

創建者 Kullawat C

2018年10月2日

Very great course on how to tune NN in details

創建者 Harsha S

2018年1月23日

Builds on fundamentals, which is always good!!

創建者 Tiến H N

2021年4月6日

The coding assignment is not challenge enough

創建者 Paraskevas P

2020年3月29日

More practical examples would be very useful.

創建者 Aymen S

2019年8月13日

Cours intéressant merci beaucoup Mr Andrew Ng

創建者 Anna W

2018年9月12日

batch optimization is good but not graded :-(

創建者 Yiping W

2018年6月23日

should provide more materials for tensor flow

創建者 MD N F

2021年2月15日

Concepts explanation was not up to the mark.

創建者 Freddy A C F

2020年6月25日

great now I understand Adam optimizer better

創建者 Kazuki H

2020年1月9日

I can understand concept of deep neural net!

創建者 Bernardt D

2018年6月26日

There were some typos throughout the course.