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

57,969 個評分
6,671 條評論


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....



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.


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


6501 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6525 個評論(共 6,595 個)

創建者 Pavel K


Lectures are good. Programming exercises are too easy. Too mechanical, no much thinking required, à la "fill the gaps" exercises.

創建者 Rupamita S


I would give five starts if not for that grade error issue. I hope it gets resolved for good. Otherwise. Great course as usual.

創建者 Carsten B


Interesting, but not nearly as good as the first one. Disjointed topics, unconnected exercises made this less digestable.

創建者 Tan K L


I think more should be done regarding the TensorFlow framework with more explanations given to what the functions did

創建者 Moustafa A M


Lake of practice, Lake of intimations with good examples

Less in Ternsorflow don't know how to implement and deploy it

創建者 Mohammad E


The course and the material are great. However, the codes in the labs have serious problems which should be solved.

創建者 Lucas N A


Really helpful advises. I felt it was too focus on the implementation side but I liked the intuitions parts better.

創建者 Rishabh G


Week 3 of the course does not have a practice problem for batch normalization. Wanted to implement it and learn.

創建者 Ramachandran C


I found the video lectures useful to understand the concepts, but the programming exercises are over-simplified.

創建者 Carlos V


Would give more stars if the final assignment used Tensorflow@ and not an outdated version that is not in use.

創建者 Pranshu D


More tensorflow related tutorials should have been there. The lectures turned a little boring and redundant.

創建者 Adrian C


So far, I think this course is weak on theory, seems rushed and should provide more in depth lecture notes.

創建者 Vincent D W


Encounter Error in the final assignment, cannot complete the model, but the grader gives 100/100 anyway.

創建者 Amit C


I wish the course mentors were more active on this course makes it a bit difficult to clear doubts

創建者 Laura L


It does not make you think of the problems, just fill in the gaps. First course was better.

創建者 Mostafa A E N


Programming assignments are too easy and the answer is already given before the question.

創建者 harsh


Tensorflow is not at all user friendly, I'm sure better alternatives would've been there.

創建者 Aviv D


I recommend adding a summary page at the end of each week to make sense the mathematics.

創建者 Tanurima M


The course is outstanding just the tensorflow library should be taught more in details.

創建者 Pranjal S


The technologies and the assignments should be updated to follow the latest standards

創建者 Chaobin Y


Maybe this course can merge with the 1st one. they both cover too little materials.



WEEK-3 was a little bit messy, it would have been better if it was tensorflow 2

創建者 joel a


taught concepts well, but the programming assignments felt like it was spoonfed

創建者 Xin H


Good: Contents on Tensor Flow

Bad: No real useful content compared the Course 1.

創建者 Péter D


great lectures, simplistic programming assignements, ridiculously easy tests