I love this course. Videos are very well split into short sessions, clear explanation, very good examples, quizzes and graded tutorials.

Andrew Ng has no parallel in bringing absolutely complex concepts down to a level that idiots like me can understand and apply. Salute!

Programming assigments guide you through everything you need to know about choosing parameters and implementing optimization algorithms.

Very helpfull in understanding how the fine tuning and everything works!!

love the way how Mr. Ng explain everything simple and neat....

This is an excellent course. Well organized with right amount of depth to understand the concepts. Please keep them coming! Thank you!!

Me gustó mucho la forma en la que muestran las diferencias entre varias vías a tomar al hacer 'tuning' de los algoritmos.

Lo recomiendo

Really fun and informative, it was so clear I feel I have very good basics and understanding of neural networks structure and creation!

Awesome course that introduces you to tuning hyperparameters, different optimization algorithms and implement most things from scratch.

Really interesting content, especially regularization and dropout. We must have to go through this before start implementation of DNN.

Overall great, very interesting! I think it would be great if you could provide some PDF with material summery in the end of each week.

Muy buen curso para mejorar las Deep Neural Networks, bien explicado y las tareas ayudan mucho a clarificar su implementación en Python

Excellent material and even better presentation! Home work assignment are done so well and help you understand the material. Loved it!!

Great course. It does use Tensorflow 1.0 though and I do feel like they hold your hand too much during the exercises. Enjoyed it still.

Great course. I would sugest to add some extra practice on parameter tuning. It would be usefull to have some tensorboard introduction.

感谢吴恩达老师带来的课程,这门课不仅仅使我对深度学习更加感兴趣.还让我想到了很多能够用其完成的一些事情. 课程虽然结束了, 但是有关于深度学习的学习才刚刚开始, 最后再次感谢吴恩达老师, 以及提供这个平台的coursera课程,让我在中国可以听到来自全世界的课程,谢谢!

Excellent Course, I could go deep into the Machine Learning methodologies and I learned how to optimize Deep Neural Networks Algorithms

I got to know the optimization algorithms to use and also the Tensorflow programming framework in depth. It was a really useful course.

Alot of useful info about neural network tuning and easy introduction to Tensorflow framework. Absolutely must see for every DL novice!

Amazing course, with great practical insights on hyperparameter optimization for deep learning models. Andrew Ng is a great professor!

The programming assignments can be a tricky to solve, due to lack of proper explanations and the horrible documentation of TensorFlow.

A must course for understanding hyperparameter tuning, regularization, and optimization for real-world applications for deep learning.

Great introduction to regularization and optimization. I wish the TF assignment were done in PyTorch instead, but it was still useful.

Amazing content and wonderful teaching skills of Andrew Ng. Thanks for helping me out on such a difficult topic with so much of ease!!

Thanks to Prof Andrew, now I can understand the roles of hyperparameters. Tuning them skillfully requires a lot of experience, though.

기본의 코스를 Numpy를 통해서 배우다, 본격적으로 프레임 워크 (Tensorflow) 들어가니 이해가 잘 됩니다. 특히 머신 러닝 강좌를 이렇게 코딩을 섞어서 만들기까지, 얼마나 많은 정성과 노력이 들어갔음을 알기에 경의를 표합니다.