This course is a very well structured course of Machine learning , where all the concepts are taught right from the most fundamental principles and that makes them easy to comprehend with.

Good summary for very basic but most important ideas/concepts of DNN. I will keep looking at it until I fully understand it.

DNN에 대한 기초적이면서도 가장 중요한 정보들을 잘 정리해 주셨습니다. 앞으로도 계속 다시 찾아와서 볼 내용들이네요.

This second course is an amazing addition to the first one, i have to say that it set me on the right path in my Deep Learning Journey. a BIG THANKS to everyone who helped make this Course.

This course provided me with invaluable insights into hyperparameters of a multi-layer perception and the important role their optimization plays in the performance of deep learning models.

A really good continuation of the lessons learned in the first course, and a gentle introduction to TensorFlow. Overall a 9/10, it would be a 10/10 if the assignments were more challenging.

Course is very good but better notes should be provided as it is a paid course. Also, it would be better if assignments are little challenging and hints shouldn't be provided at every step.

Again this is another great course continuing the first course. The only thing to say is that TenorFlow assignment needs to be update to version 2 in order to benefit the simplified syntax.

This course was very helpful in that it delved into more of the practical aspects of building deep neural networks. It builds on the first course very well, and I would highly recommend it.

This course helps to become pro/expert in DL/ML within a short period of time. Andrew shares his decade long experiences and best practices in this course. I strongly recommend this course.

Great hands on experience of tuning and tensorflow tutorial. Unlike the old ML course and the one taught by Hinton, this course prepare you for the newest framework instead of Octave staff.

Good course which clearly explains all the material, though ocassionaly there's a really high pitched noise in the background of the videos which would be nice if it could be editted out.

I have understood the basic math of neural networks, also how we can tune the parameters to optimize the neural network, so that it perform better.

A Very Very big thanks to deeplearning.ai

Me pareció excelente y al punto. Todos los consejos dados son realmente aplicables y se entiende la razón de cada uno. Los ejercicios no son excesivamente complejos y están bien redactados

Amazing course. A must course for everyone who wants to save a bunch of time by making their training model efficient. Andrew Ng is an amazing instructor and makes every lesson look easy.

January in this year, I did not know this course. At that time I want understand TensorFlow but I didn't know where should I begin. After finish this course, I suggest anyone, this is it!

Words cannot explain how important this course has been for me. Andrew NG proves. Everything that has intuitiion, is really easy to learn. Very few person in machine learning who kills it.

perfect course for deep learning fresher, this course mainly introduce fundamental knowlege to us, and cover wide aspects,such as optimization algorithm, hyper parameters tuning and so on.

The superiority of this course over the rest of the content is expressed in very simple language and the design of notebooks is very useful, which makes us follow the content much better.

The clear, concise step-by-step explanations were great, and the exercises easy to follow. Perhaps too easy though, I wish the assignments would prompt me to write more code from scratch.

I love the course, you learn everything about hyperparameters search and tuning, optimization algorithms and many many other details (profound content that you can't find anywhere else! )

Ammaaaaziing course...!!! simply amazing. I believe Andrew is the best instructor. I now understand the underlying computations that are used by deep learning frameworks like Tensorflow.

This course is giving the Path/Strategy that how to deal with Deep Neural Networks and make Neural Networks work more accurately by tuning the Hyperparameters and Optimization Algorithms.

I got a very good understanding about how to what are the parameters I can tune, regularization methods, and different gradient descent alternatives which can be used through this course.

Thanks to Coursera team for organize this course with one of the best platform for new learner from top class instructor and researcher of top rink universities. Also thanks for free aid.

Teaches some of the most important concepts in deep learning in my opinion, and you also learn to use tensor-flow which is one of the most versatile python libraries in todays coding era.