Hyperparameter tuning usually mentioned in papers without any systemic workflow. But detailed tuning steps are mentioned in this course !!!

Fun and engaging, and very accessible too! A great overview of various optimization algorithms, and a great introduction to Tensorflow too.

Awesome curse If you want to understand the mathematics behind some deep learning techniques. Highly recommendable curse! Thanks Andrew Ng!

Very useful. Goes through a lot of recent advances to optimize deep learning performance. The exercises does feel easy and straightforward.

Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

It is a good breakdown and logical progression of the need and evolution of parameters and hyper-parameters. Throughly enjoyed the course.

In spite of my strong mathematical background I found many interesting features for using maths in Deep Neural Networks. Excellent course!

Okay with week 1 and week 3 but you need to improve the motive behind presenting week 2. Also what was the purpose of batch normalization?

Excelente curso para um entendimento mais profundo sobre os parâmetros que compõem uma Rede Neural. Parabéns ao mestre e mentor Andrew Ng!

I believe a approach Sir takes while teaching the course makes it comparatively easy to learn the very difficult concept of deep learning.

very great useful. I want to learn compute science (bachelor's degree)by top 10 of university.

that Mooc is success. I want more learning

Awesome! Very helpful & interesting. Looking to take up more courses in future.

Best way explanation. Awesome quiz & programming exercises.

I was excited to learn TensorFlow and this course provides the foundation for that as well as continue the concepts from Course 1

Thank you

Thank you so much Andrew. This course sharpens my understanding about deep learning, and lets me know the powerful function of Tensorflow.

Still a good intro course for DP. But most of the techniques are not really based on math but tricks. Maybe it's part of the nature of DP.

Covers optimization algorithms, Minibatch Gradient Descent, with Momentum, Adam, Xavier initialization, etc. Well-structured and objective

Real build-up on the great intro course. Gives valuable practical insights on how to use the techniques learned in real life applications.

We learn about all the parameters we use to tune a neural network including learning to use the tensorflow framework. Very uesful indeed.

Muy buen curso para entender y aplicar herramientas que hacen más eficiente el uso de DNN. Excelente balance entre profundidad y práctica

Great Instructor, Superb and up-to-date material, accessible for not math savvies,

Best possible instruction ever for such a heavy topic.

Best course in deep learning , this course is a gem , usually the methods and technics taught in this course aren't taught in academics.

The course content were well organized and so good but the programming exercises were a bit easy and were implemented by a large portion.

The lucid explanation provided by Andrew Ng goes a long way in helping the students build core concepts in a logically structured manner.

All are the Courses are just amazing and helpful and Dr. Andrew Ng is great instructor .... i just loved his way of teaching.... Thanks !

It was a fabulous experience taking this course.I learned a lot,although not 100% as majority of concepts were new but to certain extent.