GRACIAS POR TODO!!! Este curso es muy bueno para quienes estamos empezando con TensorFlow. Explicaciones fáciles de seguir y ejemplos muy didácticos. Lo recomiendo al 100%.

THANK YOU FOR EVERYTHING! This course is very good for those of us who are starting with TensorFlow. Easy to follow explanations and very didactic examples. I recommend it 100%.

It was very interesting and exciting to learn the basics of TensorFlow through Image Recognition, something both complex and of research interest but also easier to understand what's happening in the convolutional neural network. Prof. Moroney was very good in his instructions and the sructure of the whole course. Can't wait to go to the next one!

The course was so terrific and for me, who's a newbie in this Machine Learning world and has a passion to discover this topic. Thank you to Mr. Lawrence for teaching us from the beginning to the convolution method (CNN). I think, this kind of course should the teacher in my college should teach, rather than a boring and not up-to-date materials :)

One of the best course I ever took. Laurence Moroney demonstrated the power of Tensorflow in an easy understandable manner. We quickly moved from modeling with simple algorithms to more powerful CNN. The most admirable feature of the course is the Colab notebooks and exercise it is helping us learn better.Thanks for the wonderful course Laurence.

For someone who wants to go deeper or even for someone who hadn't taken courses on deep learning it's a good start point, I should recommend to Deep Learning.AI to take the labs in other way, because sometimes I found some annoying to watch the video firstly and the go ahead with the lab corresponding and after that go with the videos once again

It was a thorough introductory course on Tensorflow and Neural Network algorithms. The lessons were perfectly passed and the resources like Google Colab notebooks helped in understanding and working out more examples on our own. Really suitable for beginners in Deep Learning with some previos knowledge of Machine Learning and Python programming.

Loved it! before i used to think AI is not for me as it has complicated math and i'm not very good at it but as started watching this course, my thinking about AI has changed a lot and it made me realize that it's not that hard if you do it by your complete focus and concentration, thank you for making this course super friendly to beginners

I really loved the explanation behind the coding and each line of the code - it gave a better picture o why we are using a line of code and also the concept behind which is crisp and clear. I strongly encourage this course for beginners and request the instructors to make much more courses related to deep learning which gives more insights.

Exactly what I was looking for: practice since the beginning in Tensorflow. Very recommended after the Coursera Deep Learning Specialization (https://roshoesn.top/specializations/deep-learning). Looking forward to the next courses of Tensorflow in Practice Specialization (https://roshoesn.top/specializations/tensorflow-in-practice).

Very informative and beginner friendly!! I was kind of nervous to start this course because I was intimidated by the title of the course. At the end of the course, here I am thanking myself for starting this course because now I've got a perfect start to learning deep learning with Tensorflow. Kudos everyone who put this course together!!

This course is coming for me after the Machine Learning course from Andrew Ng and it gives very hands-on answer to theorical part deep dived. Tensorflow is really easy to jump in, and this course give a perfect overview of the potentiel. I really enjoyed the Convolutional explanation about why they are more efficient than traditionnal NN

Great lectures with step by step example and exercises. Just some problem with the week 4 example environment which unable to reproduce the accuracy rate onto another flesh opened colab python2 notebook by some unclear reasons. I would like to know how to debug deep learning networks and wish to learn some more knowledge this topic.

Laurence, being the amazing instructor he is, made the entire learning journey effortless and extremely engaging. This course helped me learn the basics of using Tensorflow with Keras to create simple DNNs and CNNs. The included exercises were extremely easy to follow and I found the assessment questions to be very thought provoking.

Great course. It is mainly focused on the Syntax and use of Keras with TensorFlow for machine and deep learning, which makes it perfect if you already know the concepts and are learning a new framework.

Only thing to watch out for is parts of the videos are outdated as they are using tf 1.x instead of 2.x, which is the newest version.

An excellent step by step introduction to the Keras Deep learning framework. Also check this out if you're planning on taking the deeplearning.ai Deep learning specialization .

Also excellent is that the exercises can be done on https://colab.research.google.com, so you don't need a strong computer, or to spend time on installations.

Loved it!!! Being a beginner to machine learning and deep learning I was kinda scared to take up the course, but seeing the ratings and reviews made me change my mind and I am gald it did, the couse is really fun and I was able to finish it ahead of time because I was enjoying it so much, would definetly recommend it to everyone!!!

This is a great course for those who like to start learning Deep Learning using TensorFlow. The course starts with very basic concepts used in ML/DL/DNN and the exercises and assignments make it quite interesting. I would highly recommend students and professionals who are aiming to learn or start a career in AI to take this course.

The course and the teaching style of Dr Laurence Moroney combine both taking baby steps and working with code together, which works really well for me. I've tried a lot of different courses/ tutorials but it's either they dive into code too deep or they dive into theory too deep. This one however does both but increases gradually.

This course very quickly made me appreciate the use of convolutional neural networks in computer vision. It focuses on the use of a few functions available in Tensor Flow and Keras for deep learning without going too much into the algorithms that power them. This makes it an excellent starter course in deep learning using python.

Great work from the instructors. However, I'd rather the assignments be less filled out so I can code more and struggle through the data processing and get to know the library more. The assignments had too much code so it's easy to glaze over and just complete the assignments very quickly. The ungraded labs were very helpful.

The way the instructor taught everything with examples and in-depth code made it helpful to understand all the concepts. Extremely helpful course as it started from the very bottom about CNN's. Also the resource materials provided are very insightful and has all the information needed to experiment with the code even further.

Nice introduction to Tensorflow, Callbacks and Convolutional Layers. As this is a course on intermediate level, I recommend you take the ML and Deep Learning courses by Andrew Ng first. With the knowledge from these courses you will get way more out of this one (which then is just what it says: An Introduction to Tensorflow).

I loved the course from the very beginning. The structure of the course is well designed for a student like me. Instead of making long videos on a topic, each video explains only a small topic and is 4-5 minutes long. Special thanks to the class instructor Laurence Moroney who explained advanced topics so quickly and clearly.

The course is really great! Besides containing loads of useful information and being totally ML-novice friendly it has a huge amount of links giving a better understanding the ideas under the hood and practical implementations of knowledge! Quiet sure that the further parts of specialization are of the same high quality!

In this course I was able to put into practice and learn even more, much of what was taught in Professor Andrew N.G's Deep Learning Specialization. Many concepts about neurons (Dense), about Flatten, and as well as manipulating images to work with computer vision, were excellent to improve and consolidate these concepts.