Good material and definitely essential in order to gain a lot of time aiming at the right direction navigating all these parameters

Very good course. I would have liked a little longer introduction to the tensorflow architecture and less help on the assignements

A good introduction to gradient descent algorithms and hyperparameter tuning with a little TensorFlow thrown in for good measure!

Good course, Hyperparameter tuning, Regularization and Optimization are well explained, and the Tensor Flow lab is very useful too

Es un buen curso, basado principalmente en aspectos prácticos. Me pareció menos interesante que otros de la misma especialización

Tips are very useful! Have some typos/errors in assignments, more coding work can help understanding. Thanks for sharing, Andrew!

Many practical tricks such as tuning hyper parameters and the use of major optimization techniques such as batchnorm and dropout.

I think a bit more hands on teaching would be better for this course and also if you could mention resources it would be better.

Bastante bueno, explica de manera simple y práctica los distintos métodos para acelerar el aprendizaje de las redes neuronales.

The last assignment has no clear instructions on how to use the functions and has error which doesn't initazlie the parameters

Very interesting course. But a bit fast I would say. Sometimes I didn't feel the programming assignments were that challenging.

The course was great overall, but I wish we had more involvement in the set up of the programs in the programming assingments.

It would've been much easier if the graded functions of the tensorflow practice assignment would've been explained separately.

Nice basics that help understand the fundamentals. The last part of the course should be upgraded to Tensorflow 2.0 already...

Again awesome explaining by Andrew, although I feel Batch Normalization should be a bit stressed upon and explained in detail.

Well detailed course..

Tensorflow is very basic and it could have been improved if one can visualize graphs too in tensorboard

Explains neural nets like a tutorial more than a formal course. Overall pretty insightful. Also, instructor can speak louder.

Great course!! The only improvements I'd suggest is more difficult assignments (less guided) and more written documentation.

Maybe i was doing it wrong but the last tensorflow exercice add me buggin. Tried everything and it didn't worked as expected

Some of the best intuitions behind Neural Networks can be provided by none other than Andrew Ng and this course proves that!

Very good - wouldve been more effective if included the questions part way through the videos as previous courses have done.

Es necesario que actualicen los notebook por ejemplo el de TensoFlow ya que esos códigos no corren bien con la nueva versión

This course was a little bored for me. I already knew a little bit about hypertuning so I felt that the course moved slowly.

Provides a good code skeleton to build a neural network, but would unlikely have one poised to do improvements on their own.

Very good course, but I would expect some hands on hyperparameter tuning (using maybe an additional programming assignment)