Super cool! Nice introduction to Tensor Flow and Machine Learning in a good pace and with good examples! Out of this introduction, I was already able to create my own spaghetti identifier (using the same techniques as from horse vs humans example!)

It was an amazing and intuitive course, the videos were short, intuitive and to the point so you would not loose concentration. I would like to give a suggestion about the lab, please include details about the dataset in the lab notebooks as well.

This course not only has great contents also have a straight forward way to teach introduction for Deep Learning with TensorFlow. They skipped the complex math and Neural Network components in the front to focus on Machine Learning cases to solve.

Great Course!!! I am very grateful to deeplearning.ai team from providing a platform to learn this kind of stuff which not only provides new employment opportunities but also provide confidence to do a lot interesting stuff !!!

Thank you very much!

The course is really nicely designed. The approach is really practical and it takes you directly into how to work with the TensorFlow library. I would highly recommend you taking this course if you want to quickly learn the tensorflow library.

Excellent, you learn the tools in code to go straightforward from theory to coding, solving the problem of a lot of code read large sets of images and label their classification. The course also reinforce fundamental concepts of machine learning.

Great course - especially considering how easy Keras makes in creating DNNs and CNNs. Thoroughly enjoyed this course and would highly recommend to anyone who wants to learn how to prototype and build quick model POCs for your business objectives.

If you are a beginner to Machine Learning (ML), this is a great course that teaches you ML practically using TensorFlow. These assignments are easy and if you have prior ML knowledge they boosts your confidence in applying them using TensorFlow.

Loved the course, thank you! I do wish that the exercises emphasized testing validation more as opposed to just training validation. I'm hoping to learn how to use callbacks to cutoff training after a certain testing validation level is reached.

really loved the course, it was very interesting and fun to solve all the assignments. Some were tricky as i had no idea about how to manipulate images in python but after some tinkering i learnt it and now I feel confident in this area so far.

Very good explanation and notebooks to explain and practice contents. The auto grader is very frustrating though and sometimes the Exercise notebooks could not be open (on Mac Safari). In such cases, you will have no chance to pass this course.

This was the one of the best course I have came across which give a complete understanding of artificial intelligence and how to user neural networks to any problem,It is a course for beginners with a lot of hands-on experience with TensorFlow.

Hands on and well structured. Doesn't overwhelm you, yet you get a good sense of having programmed and learnt it. Like the idea of making notebooks available in collab and for download so that assigments can be tried out and you can experiment.

Wonderful course for beginners or someone who is looking to start understanding machine learning. Teaching is great, examples even though they are complex are explained with such ease that you don't feel lost at all. Great course overall.👍👍👍

Great course. It provides the foundation for understanding Artificial Intelligence, Machine Learning, and Deep Learning. Concepts such as, convolutional neural networks are taught with clear examples from exceptional tutors in the field of AI.

Pretty comprehensive introduction on TF. I am not a pro, but even I could follow everything without much issue.

This course was also pretty hands on. I hope the following ones will go more in-depth into how the theory of the models itself work.

Un perfecto para aquellos que buscan dar los primeros pasos en lo que es "Computer vision" y una gran introduccion a las redes convolucionales.

Es de mencionar la necesidad de realizar, posterior a este, el curso de Reconocimiento de Imagenes.

Very informative course, the notebooks are more helpful than the videos. I am very happy with the automated grader instead of peer-review which is employed in many other courses and which definitely does not work as well as it is supposed to.

i loved this course ..and a little issue of submisson page if i delete the code it saves the point quickly where i cannot know the question i need to answer ..apart from that , this is a excellent course for people who are learning tensorflow

very good material for beginner who is interested in getting into the Deep Learning domain by using the tensorflow. It also includes several representative examples so that students can easily know what tensorflow and DL are capable of doing.

It is a very complete course to get started in the use of TensorFlow, but it requires a complementary study of machine learning theory. Even so, it perfectly covers the objectives it contemplates in a very simple way to follow and implement.

Thanks for this beneficial and well-organized course. It's so proper for introduction course and contains very informative exercies. Also, resources are good enough for introduction. I really enjoyed and learned basics of TensorFlow and CNN.

This course is an exceptional place to enter the world of Machine Learning. I learned many of the basics and the teaching was exceptionally good. I am starting to make sense of how models and training work and am not motivated to learn more.

A very nice course if you are looking to make your way into the implementation of Deep Learning using Tensorflow. There are notebooks and their line by line explanation to help you implement and get an overall picture of the Neural networks

Learned a lot of the very basic but very essential coding implementations that come in handy in data pre-processing, building, training, and evaluating models. Recommended if you want hands-on coding practices with TensorFlow and AI models.