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

40,776 個評分
4,340 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....



Dec 06, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse


Oct 09, 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


226 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 250 個評論(共 4,271 個)

創建者 Ali A

Mar 25, 2019

This course of Professor Andrew Ng is as excellent as all the others of him. When I think about AI, he is the best.

創建者 唐章源

Mar 27, 2019


創建者 HEF

Mar 27, 2019

This course taught me a lot of things that I cannot usually find in a school curriculum, yet the content are extremely useful in helping me to accelerate my algorithms. This course is super important in handling deep learning projects, I think.

創建者 Abhinay P

Mar 27, 2019

This is one the best courses. The use of Hyperparameters and tuning is best explained.


Mar 27, 2019

These courses gives a new aspect of life. I gained lots of valuable information.

創建者 Ravikant C

Mar 28, 2019

I really enjoyed doing this assignment. A perfect combination of hands-on and concept discussion.

創建者 Lucifer Z

Mar 28, 2019


創建者 RAJ S

Mar 28, 2019

I cant stop myself to watch the next course

創建者 Sergio L M

Mar 28, 2019


創建者 Celia C

Mar 27, 2019

Hope the tensorflow homework can be more clearly instructed. And hope there were more tensorflow part of homework

創建者 Pieter J V V V

Mar 28, 2019

Very clear explanations, well guided exercises.

創建者 Sherif M

Mar 29, 2019

Great as always especially the notebooks appear more mature now and are educational by themselves.

Great job by Andrew and team!

創建者 Gabriel

Mar 29, 2019

another fantastic entry

創建者 Matthew J B

Mar 29, 2019


創建者 Muhammad H B K

Mar 30, 2019

Was an amazing course. There are few mistakes in final exercise of week 3.

創建者 Federico A G C

Mar 30, 2019

Fantastic in every way!

創建者 ChenTianyi

Mar 31, 2019


創建者 Raksha Y

Mar 31, 2019


創建者 Lydia N

Mar 30, 2019

Learning can be so much fun!!! I like to read the book Deep Learning by Ian Goodfellow and Yoshua Bengio for additional support :-)

創建者 yasser s

Mar 30, 2019

Thank you! Very helpful!

創建者 zhou

Mar 31, 2019


創建者 Haoqiu W

Mar 31, 2019

nice teacher

創建者 Raza F

Mar 31, 2019

Best Course for learning hyperparameter tuning, Regularization and Optimization

創建者 Bassel G

Mar 31, 2019

Thank you Coursera I am thankful to you Andrew and all team members of this course.

創建者 Aishwarya R

Mar 19, 2019 courses are worth the time and effort