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.

Very nice course that provide enough information for learning start handle their optimization process and implement in their own work.

Excelent course, very useful. You will learn a lot about optimization methods and other techniques for parameter tuning. Thanks again!

this course is very good it gives good practical ways to implement neural networks in python and with Tensor Flow, i like it very much

Another great course from Deeplearning Specialization. Strongly recommend to one who already attended the first course of this series.

I loved the course 2, especially week 2, it cleared lot of doubts I had and now I have better understanding of internal details of NN.

Excellent well explained tough concepts.

High quality exercises well guided to understand teorical concepts and apply in real examples

Very insightful course with practical tips on improving optimisation. I wish the Tensorflow notebook was updated to version 2 though.

The best course about hyperparameters. Now I really understand why we need regularization and how Adam optimizer works. Thanks a lot!

Best taught course in Deep Learning that i've come accross so far. Andrew explains the concepts in a way that is simple to understand

The code of the TensorFlow was a little bit difficult for me, but all the classes were exciting. Certainly I'll take the next course.

This course gives a really good inside into optimization. Neural Networks now seem lees a black box and more a beautiful math for me!

I think it was greatly set in anyway. Exercises were good and related and enough guidance was given to move forward. Thank you Andrew

This course helps me a lot to understand the concept of making deep learning more efficient and robust. Excited for the next courses!

The content is good. The assignments are very interesting and meaningful. Helped me to learn and raised my interests in deep learning

Very Good course. Very well paced course due to the flexibility in deadlines. Andrew Ng's Teaching style was very easy to understand.

This course was very helpful to learn tips of how to improve neural networks, and it also included a good introduction to TensorFlow.

Its better to create a folder for all lecture notes! thank you. The contents are really interesting and easy to catch the concepts :)

It was great. Lots of useful information and explained weird words.

I wish the 3rd assignment had more videos (Tensorflow how to use)

Thanks for the very useful material. I think the lessons on Tensorflow can be presented with more details, but it is still very good.