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.
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.
교육 기관: Gleb F•
Programming assignments are too easy, and don't help to grasp and think through the material.
교육 기관: SHRUTI S M•
Some more details & programming exercises about batch normalization could have been provided.
교육 기관: Sanket D•
It could be updated to include more of the newer optimizations such as Bayesian optimization.
교육 기관: Hakob J•
It is very helpful course both for theoretical and practical aspects of Hyperparameter tuning
교육 기관: Juan A M C•
Me llevo un tiempo, pero lo logre. Ahora a jugar con algunos datos y mejorar los resultados.
교육 기관: Manpreet S B•
good course, easy to understand and very nicely explained concepts about the neural networks
교육 기관: Leonid M•
It seems the major part of this course is taken from the original "Machine Learning" course.
교육 기관: Chowdepalli R R•
tensor flow is not understood properly else the course is very good and clean to understand
교육 기관: 杨之龙•
I have to complain why dont accompany videos with quiz and notes just like the ML coursera.
교육 기관: Hyatt B•
Content great! I'm not convinced Jupyter notebooks are the best approach for this material.
교육 기관: Joe S•
A good course that provides a lot of insight into how to improve upon Deep Neural Networks
교육 기관: Yen S L•
Good explanations. But tutorials can be improved to demonstrate the various tuning effects
교육 기관: Surya J•
Great course to build intuition about tuning NN. Solid Foundation in very short duration.
교육 기관: kritika•
There was a lot of hand holding in programming assignments. It needs to be more rigorous.
교육 기관: Vasilis S•
Very informative course. The assignments are too trivial. Could've been more challenging.
교육 기관: David D•
Last programming assignments had some errors in them that could've easily been corrected.
교육 기관: Bhargava P•
Great content. Filled with rich techniques to improve models, hyperparameter tuning etc.
교육 기관: Václav R•
Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!
교육 기관: Rajiv C•
It was fun to get to know other optimization techniques and how to speed up the network.
교육 기관: Prajwal M H (•
The difficulty of the course is medium. More time should be spent by learners for this
교육 기관: Andrew W•
Felt fast faced. But a good introduction to neural network hyperparameter optimization.
교육 기관: GAURAV B•
Course was really good, but I feel in tenserflow regularization should also be covered.
교육 기관: Ahmed A•
The course was very informative but the tensorflow notebook was buggy and needs fixing.
교육 기관: Arjan G•
Good course, but still has some minor issues in the assignments that needs to be fixed.
교육 기관: Nils-Jörn•
Don't like the Jupyter environment - i loved the Octave used in the basic ML Course...