The best course of the specialization. Drills right into the heart of ML in terms of how to improve your models and also shines some light on how to create custom NN models which can be used with all of the prebuild functions of TF.

Some issues wit the Google Cloud Plateform (UI bug, instabilities). Aside that, the course is great and well built. Although I already knew ML theory, I learnt few tricks about implementation and running model at scale.

This course is of specialization is the most applicable in the case of my work. If customer estimator was explained in the earlier courses, many other experiments with our own custom estimators could have been tried.

Now that's what I am talking about. Great survey on nuts and bolts of ML practicalities. The how and why of model generation and manipulation. Very excellent. Super library of reference models and materials.

Amazing way to keep the audience interested. Throughout the specialization, I was always interested to learn what was about to come, next up. I completely recommend this specialization. It is a fun way to learn!!

Thank you for this course and specialization, it really good. There were some small bumps in the labs, but those were minor. Appreciate the work you've done to put out this course and the specialization!

thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.

This course is so really good to learn about the general knowledge and skill of Data Science like optimization batch or regularization and so on with Google Cloud Platform.

Iam very satisface, the contents, methodology, tools were exceletents, and the translations were very good im not was problems with the platform is very easy and intuitive

In this course you gain more deep understanding to how improve your machine learning model. This course also introduce you on to how build a custom model using keras.

A lot of core neural network topics were presented in a productive way and I particularly liked the LAB showing how to write custom estimators.

This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications

Very interesting course! Specifically the last modules with custom estimators and the ability to create estimators straight from Keras!

Great inside about the core topics with real word problems which make learning easier and practical. Thanks a lot for this great course

some labs with bucket gave errors since it needs to specify some stuff from the bucket like region but no instruction about it

Un excelente curso para entender varios conceptos que permiten optimizar los modelos de aprendizaje profundo.

This was a quite dense specialization. The instructors were very clear and the assignments helpful.

This course tells about the different aspect of usage of art and science in machine learning.

Good material on the art and science of ML - specially the custom estimator stuff.

Thank you for such wonderful classes, it helps me a lot on tensorflow learning.

Very very informative for learning....had good time to gothrough this course...

Very well designed and defined..with great hands-on exercise. Thank you...

This is a most-do course for Data Scientist and ML Engineers using GCP.

Best course in this specialization. Lak is such a wonderful instructor.

Loved the breadth and depth of machine learning topics in this course.