8 mars 2019
Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
13 août 2019
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
par Dustin Z•
27 juin 2020
Fun introduction to tensorflow. This course is best if you completed the deep learning specialization before it this course doesn't go into the details of how everything is working under the hood.
The structure of the course is well done with plenty of opportunities to practice.
There are still a few rough edges to smooth out, but all around really great.
par Joydeep G•
21 juin 2019
I have completed more than 80+ MOOC from various platforms and many reputed universities and I must say, Laurence is one of the best teacher(s) I came across. The way he teaches (which includes topic content, explanations, and converting complex concepts into simple one) is simply unparalleled.
A BIG THANKS to him and everyone associated with the course.
par Abhinandan M•
21 sept. 2019
A very good start for tensorflow beginners and a concise refresher for those who have already used the tensorflow framework. Loved the way each code was explained but particularly found the part where we can play around with what each filter is learning as particularly important for anyone going forward with this course. Thanks for this great material.
par Alireza M•
21 juin 2021
I'm very glad to finish the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. This course taught me a lot. I learned how to create a convolutional neural network for image processing using TensorFlow. Laurence Moroney and Andrew Ng, thank you very much for the great information you provided.
par Tashreef M•
21 mai 2020
The course was great. However, the programming assignments sometimes didn't have details. Like in one assignment we had to use the reshape() method, but there was no instruction about it. I basically tried it by seeing some errors and from my previous knowledge of Deep Learning practice. Such clarifications should help the course get better remarks.
par Carlos A C C•
1 oct. 2019
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%.
par Anastasia C•
25 mars 2021
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!
par Steven J R•
20 mars 2021
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 :)
par Balaji R•
23 févr. 2021
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.
par Krithika S•
28 mai 2019
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.
par SAHIL P S•
30 août 2020
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
par Sikha N M•
29 juil. 2021
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.
par Diénert V•
6 juil. 2020
Exactly what I was looking for: practice since the beginning in Tensorflow. Very recommended after the Coursera Deep Learning Specialization (https://www.coursera.org/specializations/deep-learning). Looking forward to the next courses of Tensorflow in Practice Specialization (https://www.coursera.org/specializations/tensorflow-in-practice).
par Hiran H•
7 déc. 2020
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!!
par Philippe E•
2 mai 2020
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
par Chi-Hug K•
4 avr. 2019
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.
par kanishk p•
30 juin 2021
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.
par Ani A•
30 déc. 2020
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.
par Yaron K•
15 avr. 2019
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.
par Madhu M•
6 avr. 2021
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.
par Akshit A•
22 juin 2020
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.
par Deepak V•
26 avr. 2020
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.
par Robert K•
19 avr. 2022
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.
par PURVA V B•
21 mai 2021
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.
par Tobias L•
23 oct. 2020
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).