学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈
课程概述
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AA
Oct 22, 2017
Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course
NT
Aug 19, 2019
I think this course is great. Because we learn about some definitions about hyperparameters, optimization which are frequently appears in papers or in the functions in some Deep Learning frameworks.
1626 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1650 个评论(共 7,283 个)
创建者 Anirban C
•Jun 8, 2018
This was great learning, made the foundations to deep dive into the AI prog frameworks and execute real life projects.
创建者 Mohamed F
•Sep 25, 2021
Awesome journey Thanks a lot for this course I wish we could focus some more in Tensor flow but it was good as it is
创建者 wh1994
•Apr 11, 2021
Thank too much for the deeplearning.ai, it is really helpful to anyone to learn deep learning! And I will go feather!
创建者 Sarah A
•Mar 15, 2021
Easily understandable. The lecture delivering method is very nice. The codes of labs were also very nicely explained.
创建者 Iftikhar A
•Dec 9, 2020
The concepts are explained very clearly and are specified to the outcomes. Thank you, sir, for this wonderful course.
创建者 Ankush N
•Jul 8, 2020
I had a tough time doing the tensor flow assignment.
But overall, it gave me a good understanding of the fundamentals.
创建者 IT-092-Deep M P
•Jun 29, 2020
The course content is in very deep and practical. The learning content is easy to understand. Thanks to all teachers.
创建者 Vaibhav W
•May 18, 2020
Thank you Sir for providing such valuable material.and thank you once again for providing me course in financial aid.
创建者 Carlos G Y
•Apr 5, 2020
A very interesting introduction to hyperparameter optimization, as well as other important topics such as frameworks.
创建者 Guissous A E
•Dec 1, 2019
It was a great learning period with a high quality content, I learned a lot. thank you andrew and thank you coursera.
创建者 Sahan P
•Nov 24, 2019
Great Content. And Great Programming Assignments to Practice All the Things Taught in the Slides.
Thank you Andrew NG.
创建者 Rúben G
•Oct 12, 2019
This course helped me to understand better the concept of Overfitting and the behavior of Neural Networks in general.
创建者 Alexander L
•May 15, 2019
I think this course is very useful for the beginners understanding the basic and important concepts of deep learning.
创建者 Daniel G
•Nov 27, 2018
Genau so gut wie der 1 Kurs dieser Reihe. Ich bin sehr überzeugt von dieser Möglichkeit sich neuen Wissen anzueignen.
创建者 Enzo D
•Mar 12, 2018
Nice trick for improving DL performance, even if really hoped that there's a really way to find the best parameters..
创建者 aditya r
•Mar 11, 2018
Very good course with proper explanation of Hyper parameter tuning, Regularization and Optimization
of deep learning
创建者 SHREYAS M
•Dec 27, 2017
Excellent material presented very eloquently. However, it would have been nice if more focus was laid on TensorFlow .
创建者 Daniel C
•Nov 19, 2017
Loved it... Wish they'd include the up front data gathering as part of the lessons though instead of pre-made inputs.
创建者 Nilesh I
•Nov 10, 2017
Amazing course. The course teaches how to optimize the hyperparameters etc. and also teaches TensorFlow on a project.
创建者 Abhik B
•Sep 23, 2017
good course , best part is to go deeper into the RMSprop, Adam and momentum based Optimizations along with SGD and GD
创建者 h_st
•Aug 1, 2021
I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much.
创建者 Carlos D N L
•Aug 18, 2020
This course helped me to understand more about the optimization algorithms used in Deep Learning. Widely recommended
创建者 KirAN J
•Jul 27, 2020
This course is extremely informative on building a better neural network and it gives basic knowledge on tensorflow.
创建者 Rupanjan N
•Jun 20, 2020
Excellent explanation and guidance.
Please incorporate the corrections in the video directly and reupload if possible