Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

學生對 提供的 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的評價和反饋

40,184 個評分
4,276 個審閱


This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....



Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.


Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.


176 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 200 個評論(共 4,207 個)

創建者 Narain

Nov 24, 2018

it was a very good content to start from scratch

創建者 Marcelo F

Nov 25, 2018

It will help me to find solutions in ANN implementations

創建者 Amilkar A H M

Nov 24, 2018

I loved it. It showed me practical aspects of machine learning, including how to chose the hyperparameters and how to use tensor flow. My only complain is that I'm not sure how much of this information I will retain given that the practical exercises are guided. They build a lot of the functions for you. Still I'm giving it 5 stars because I have not seen this problem solved so far in any other Coursera course. They need to find a balance between teaching you a lot and making it easy enough for most people to be able to pass the exam and not get stuck in the details. Probably they could offer extra practice automatically graded exercises for those of us who want to make sure we won't forget the material.

創建者 杜忠莲

Nov 10, 2018


創建者 yangsen

Nov 10, 2018


創建者 Soheil Z

Nov 09, 2018

It is the best course for Deep learning on the internet., which is taught by best teacher ever.

創建者 hf

Nov 08, 2018

very good and very useful!

創建者 Sanjif R

Nov 09, 2018

Very helpful in understanding how to tune networks to improve performance.

創建者 Alfonsus G C

Nov 09, 2018

Great course for early machine learners to gather intuition and knowledge about how the code in deep learning frameworks actually do at the lower-level, but some typos still need to be solved

創建者 罗炜儒

Nov 26, 2018


創建者 ahmed a s

Nov 26, 2018

Super awesome!

創建者 Anamika M

Nov 25, 2018


創建者 Priyanka D G

Nov 25, 2018

It is already good, But places need to correct typo

創建者 Jhon S

Nov 26, 2018


創建者 Peter S

Nov 26, 2018

Andrew Ng is a seriously talented educator.

創建者 Leigh L

Nov 26, 2018

I love this course. It has many in-depth tips and advices based on many real life experiences. Many suggestions can be applied directly into solving difficult Deep Learning practices.

創建者 Marc M v W

Nov 25, 2018

As good as the first one with more insights in hyperparameters tuning and faster convergence techniques. The whole course finishes with a small introduction to TensorFlow.

創建者 Arjun B

Nov 10, 2018

The best course on hyperparameters with every detail well explained

創建者 Harpal S

Nov 11, 2018

very helpful, clear and concise. Everything to the point.

創建者 ahmadreza a

Nov 27, 2018

please correct the mistake in the week 3 assignment, placeholder

創建者 Hari K

Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

創建者 Daniel G

Nov 28, 2018

Genau so gut wie der 1 Kurs dieser Reihe. Ich bin sehr überzeugt von dieser Möglichkeit sich neuen Wissen anzueignen.

創建者 Dhruv D B

Nov 28, 2018


創建者 Beihai Q

Nov 12, 2018


創建者 Frédéric M

Nov 13, 2018

Really good course