Very good course on addressing a number of NN hyperparamater issues that I came accross when I tried to build my first ML project after the first Andrew NG course at Stanford.

This course teaches you about the Hyper parameter tuning, Regularization and Optimization. This is one of the best Course which teaches core of Neural network and deep learning.

Great course. Andrew is a great teacher. He never goes too fast, and his simpler is better method works great. Learning something difficult like machine learning was a pleasure.

The discussion forum was helpful!. And hope that more exercises on tensorflow will be followed in upcoming courses. Because the introduction in the assignment was rather short.

Good, mainly theoretical introduction to hyperparameter optimization and neural network optimization in general. Includes a guided implementation of a classifier in TensorFlow.

This course is very much helpful to have a detailed knowledge about tuning process of hyper parameters and as usual Andrew sir is best! He explains everything with so much ease

This is everything I am looking for. Step by step basic AI. I have already taken a couple other AI specializations but I wanted to step back and really understand the basics.

Awesome course which gently introduces the Tensorflow module with good intuition which goes with it. A good stepping stone towards deep neural networks and their implementation

Andrew has taught this course to perfection, it gave me all basics to tune parameters and also th how regularization is used, how normalization helps etc.

Very awesome course...

This course is so good that I need to check multiple times that I get the content. Really practical when people want to try to use machine learning to solve real-world problem.

Great course, you are methodically guided through the main techniques and algorithms to make your model better. Plus, you get hands-on experience with the Tensorflow framework.

I think Andrew has nailed engagement and clearly keeping the difficulty of the course in the "zone of proximal development" for the students.

Great course, and highly engaging.

Great, specifically I want to mention about the math behind the optimization algorithms. The concept is now crystal clear. Thank you so much Coursera and deeplearning.ai team.

Best place to study and increase our skills during this pandemic period. As a lot of field is using Deep Learning now, I loved this course. Thanks Coursera and DeepLearning.ai

This course gave me very good intuitions about maintaining Hyperparameters in NN. Optimizations like ADAM were well explained. Also, it meets us with the Tensorflow framework.

The course added to my knowledge on hyperparameter tuning, especially which hyperparameter to spend more effort on when. A must do for all aspiring machine learning engineers.

Thanks the Coursera team provides this so outstanding curriculum! I benefit a lot and learned some brand-new and elegant optimization algorithm through the course. Thank you!

The assignments really helped me learn how to practically create models and train them better using all the techniques that can help train a model faster and more efficiently.

Andrew Ng does a great job explaining bias/variance in the era of Deep learning, Regularization, Optimization algorithms and other things that can speed up learning algorithm.

This lecture provides experiments which helps me to understand how really deep learning work. I would recommend this course to every beginner who wants to learn deep learning.

Andrew sIr teaches very well I would love to complete more courses offered by him.I would suggest him to open a course on NATURAL LANGUAGE PROCESSING and if he could take them

This course provides a great avenue to learn how hyperparameters work and should be tuned using various methods and practices. It also provides an introduction to TensorFlow.

Excellent Course. Detailed guidelines on how to set hyper parameters, Tuning and introduction to Tensor Flow. Perfect launch pad for next level in the worlf of Deep Learning

A very good course which introduced a lot of concepts in Hyperparameter tuning, Regularization and Optimization. Maybe need some programming examples for Batch Normalization.

Course is awesome specially the programming assignments. I have one complain in the video subtitles should be shown in separate box as cant see end of slide due to subtitles.