This courses enables me to speed up my Gradient Descent algorithm by several ways. Additionally, I have opportunity to approach programming framework Tensorflow, which is really concile for me in DeepLearning.

This course really helped me to get into mathematical intuition used in deep learning and motivates to learn computer application by understanding mathematics behind that instead of programming using framework

Great follow-up course by the instructor after the Neural Networks Course. Got an in-depth understanding of hyperparameter, regularization, and optimization. Kudos to the team for designing such a good course.

It i very good course! I would suggest to have multiple smaller programming assignments during the lectures specially when the material is explaining the math on regularization, optimization and normalization.

I found this course, as someone with a bit of experience in math and machine learning, more useful for me than the first course. But in all the cases I find the specialization super useful, and very well done.

Again really simplified way of teaching complex stuff.

Some additions for future coursework:

1.) There is some project at the end of course

2.) Also, if you could share arxiv links to relevant research going on

It is simply awesome the quality of the deeplearning.ai organisation courses. I am very glad to have found this specialization course, it has the perfect equilibrium of theory and practical lessons.

Thank you!

Who am I to review Andrew Ng's course? He's a good mentor who knows what he's doing and it was fun doing the course with him. No problem with the course whatsoever which cannot be solved with another rewatch.

You get to tune your already built neural network from the previous course. You will definitely be amazed by how the presented tuning strategies can speed-up your network or even produce a better performance.

AMAZING COURSE! Really helped learn a lot about how to understand and think forward about what to do next after seeing the different accuracies! Hope to implement these learnings in my projects soon enough!!

This course will help you understand what is behind an optimizer, and what a machine learning framework is doing under the hood. Also you will learn the first steps into TensorFlow framework. I recommend it!

It was a great learning multilayer neural network and all the necessary detailed information to build one. The course suggests most of the successful ideas to tune the networks to achieve better performance.

The course was awesome. I'm very much thankful to Andrew Ng for providing his valuable knowledge and insights on deep learning. Best educator ever! Looking forward to more course on deep learning and Python.

I thoroughly enjoyed the course. It was short and sweet but totally loaded with a lot of new things. The introduction of tesnorflow and the opportunity to use it to make a neural network was a key take away.

Very helpful and enlightening. I liked the fact that intricacies of hyper-parameter tuning and BN were covered before introducing Tensorflow.

I felt a few more exercises in Tensorflow would have been useful

Builds on the first course brilliantly. As anyone working in analytics will double it, tuning parameters does the actual trick. The course gives clear explanation of what works & why that works while tuning.

It is the best course in introduction to tensorflow and batch normalization hands down.Although the minimal mathematical approach is followed still the course hits the conceptual homerun.

Absolutely brilliant

Es realmente bueno como se ha realizado la introducción a los frameworks después de haber tenido intuiciones de la construcción de las Redes Neuronales desde cero, estoy realmente satisfecho con este curso.

Well detailed course for students its just right as it is good for beginners as well as experts, and for ones who want to follow good practices building Deep NN.

Give your full try on quizes and assignments.

Excellent course by Andrew again. That mathematical interpretations were really presented well.But I would suggest to put an additional optional assignment and video for Tensorflow 2.0 along with keras api.

The classes are easy to understand, practical assignments make me apply the theory which I learned from the class. Combination of practical issue and theory trained me a deep understanding of Deep Learning.

This is a great course. Andrew explains the concepts so organized with well-thought examples. The course is clear, teaches the fundamentals and allows the student to think independently for future projects.

Thanks Andrew Ng for this excellent course. I learnt a lot from this course about parameter tuning and regularization. These technics are very practical and helpful to machine learning project construction.

A great introduction into Deep Learning with TensorFlow!

The cours would be even better, however, if the typos and faults reported in the discussion forum would be corrected in the course material as well :)

Thank you very much for making this class possible. I have learned a lot and if needed I went to forums where many people where willing to help and I founded my solution to a problem in no time! Great work!