For a person who is already familiar and has implemented all of these before, it will still be useful going over the lectures once and doing the projects to brush up. It will help strengthen your fundamentals.

The learning curve is brilliant. Even for people who are not much well versed with the mathematics that goes behind the hood the lectures have been presented in a way to practice machine learning successfully.

The course was both rigorous, yet fully supportive and technically sound. The exercises weren't watered down, instead, there was ample explanation and directives to make solving it feasible, given enough time.

Love this course. It takes a genius of a pedagogy to explain and present such complicated and complex subject in such a simple and elegant way. Very excited to move on to the next course of the Specialization.

I can tell you that this is the only course that you can find to truly understand the mathematics behind the neural network. You will make a neural network from scratch! Best course I have seen so far. 5 Star!

It teaches you the basics of Neural Networks. If you already know something of NN it might be too be basic, but I really appreciated the fact that the assignments forces you to implement networks from scratch.

Awesome course!!! It helped me understand a lot of topics and I could get an ideology of how neural networks work to the required depth. I really thank Coursera and Deeplearning.ai for providing such a course.

It`s a great course for beginner, the exercises are helpful to us for understanding the basic structure of NN, and not being too difficult to scare off most beginner in both Python Programming and NN learners.

El curso es muy dinámico y claro. Los cuestionarios ayudar a terminar de comprende los conceptos. Las prácticas de programación son muy guiadas, ayudando en el paso a paso. Excelente curso, super recomendable.

Andrew is a very good teacher! The lectures are very clear and easy to understand. The assignments are even better, comprehensive but easy to follow. Anyway, the course opens the doors of deep learning for me.

This was an excellent course. I feel like I have a solid understanding of the basics of neural networks, can can talk intelligently about forward and back propagation, and why we need to compute the gradients.

Andrew is really a good teacher. I learned a lot though the concept was still somehow unclear to me, but it is because deep learning itself is complicated. Andrew has done a great job in going through details.

Great course with detailed explanation of how to build neural networks from scratch.

A bit easy for a physics PhD, but like it as I can go through all the calculus and linear algebra for a much better insight.

Lectures are very very good, I have much clearer intuition for backprop now. The assignments were a little messy to me as i'm used to static typing and clear structures instead of all these confusing tuples :)

Great course! For me it was a bit of refresher as I already completed Machine Learning course, but it was very beneficial, plus doing the assignments with Python allowed me to familiarize with Python language.

Andrew Ng is such an amazing teacher. He makes the fundamentals so easy to understand in the videos and the assignments really do bring it all together. Love this. I'm looking forward to the remaining courses.

Great intro into deep learning! Andrew Ng does a great job explaining forward prop, back prop, their vectorized implementation and many other things regarding deep learning algorithms implementation on Python.

The course starts from the very basics of neural networks, and little by little introduces concepts that are implemented in code until developing a simple but functional model. I strongly recommend the course.

Excellent introductory course in Deep Learning. Builds most of required know-how for upgrading then to TensorFlow-based (or Theano) DL model development (both deep MLP intuition and tensor-computation basics).

Great learning Experiance , The course builds all the concepts from ground upto train and testing a basic Deep L-layered neural network. All you need to know beforehand is basic python programming knowledge.

although is step-by-step implementation it challenges me to think about implementation and reasons for each exercise. I felt challenged to search for additional info in the field and start my career in AI/ML.

Indeed qualitative eye-opening course on one of the most mysterious things nowadays, Deep Learning (and, even scarier, Neural Networks). Feeling much more confident about my knowledge of this topic right now

Beautifully taught course. Loved the organization of the notebooks, I could focus on the over-arching steps of building the networks rather than minutiae of writing the helper functions. Highly recommended !!

The lecturer will take you step by step through the implementation of a deep neural network. The content is accessible if the student has some familiarity with Python and a bit of Calculus and Matrix Algebra.

This is an amazing course with an amazing teacher. Everything is explained clearly from the beginning to the end. Thanks a lot Professor Andrew Ng. I intend to go further in learning the whole specialization.