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

54,564 個評分
6,232 條評論


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....



Jan 14, 2020

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.


Apr 19, 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


5701 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 5725 個評論(共 6,156 個)

創建者 成文辉

Mar 26, 2019

A programming assignment about batch normalization and softmax will be helpful.

創建者 Enrique J S Q

Sep 23, 2018

Very interesting to improve the foundations of neural networks previously learnt

創建者 udit b

Mar 07, 2018

Not much ground covered on implementation of hyperparameter search in tensorflow

創建者 Muktanil D

Jan 07, 2018

Great course, nice explanation of optimization techniques...too less TensorFlow.

創建者 Kumar V

Oct 16, 2017

Good course could have been better expected little more on Tensor flow exercise.

創建者 Cristina G F

Sep 30, 2017

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

創建者 Abidur R

Jun 25, 2020

Should have some TensorFlow Tutorials. I have found it difficult to understand.

創建者 xiao c

Apr 12, 2020

Good content. But I found the pace a little slow , maybe just my impatience. :)

創建者 David A H V

Mar 15, 2020

Great insights, however the programming assignments came with some minor issues

創建者 Nicolo d G

Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

創建者 Adrianus B K

Oct 07, 2018

This course is a bit harder than the first one although it is only three weeks.

創建者 Aris P

Nov 24, 2017

Useful material and good teacher but the grading system has some serious issues

創建者 Marco v d L

Nov 04, 2017

Video's: 5 star

Practice: 3 star (it will test your copy and past skills mostly)

創建者 Biral K P

Aug 17, 2020

A great course overall. Implementation in TensorFlow 2.0 would have been nice.

創建者 Andrew L P

Oct 29, 2019

Wonderful course, would have liked another assignment working with TensorFlow.

創建者 bayu a n

May 04, 2019

Need more in-depth about parameter tuning, but it's a very good course overall

創建者 Mohit K

Jun 22, 2018

Thanks for such amazing course. Add little bit more on Tensorflow fundamentals

創建者 LOS

Dec 11, 2017

Great course, still some issues in quizzes and autograder, and lack of support

創建者 Vladislav Z

Oct 08, 2017

Course it good, but IMHO to simple.

BTW I do not have real experience with NN.

創建者 Haim K

May 30, 2020

It would be beneficial to give more details on how tensorflow optimizers work

創建者 Ankur D W

May 09, 2020

This is an important course to go through for improving deep neural networks.

創建者 Luis d l O

Jan 15, 2020

Very nice one. Focus on practical aspects that are quite necessary to use NNs

創建者 Hossein M

Sep 09, 2019

too complicated, many lessens in couple of short videos.

poor video transcript

創建者 Arturo V

May 29, 2019

Se podría mejorar mucho la redacción del libro del ejercicio de programación.

創建者 Alexander

Nov 21, 2018

more python / tensorflow, as well as data exploration and cleaning is welcome