OS
Jan 25, 2023
I really liked the course. It was well explained and very interactive. I would like to continue the rest of the courses in the course if you allow me. Thank you. The course has been of great use to me
AS
Mar 8, 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?
By Kushal V
•Feb 4, 2020
It is a good course and starter for someone who wants to learn TensorFlow and get a knack of implementation of Neural Networks on Real Life Datasets.
Well Structured and articulated course work and notebooks.
By Rahul R
•Sep 6, 2019
Very informative and practical course. I liked the image generator portion of the course which makes pre-processing super easy and fun. Thanks to Laurence Moroney for making the course as simple as possible.
By Centyfano A
•May 6, 2022
So intuitive and fun to learn! Laurence gives the reasons for every output, based on its input, as well as what happens under the hood, to yield the outputs as so. One-of-a-kind course, for a curious mind!!
By richa k
•Dec 18, 2020
very in detail explanations and very good start to the specialization. implemented basic CNN and NN in tensorflow. learnt about image generator for inputting images from file as training and validation data
By Ashwin J
•Jul 16, 2020
Really helpful course! Lawrence explains in such a way anybody can pick it up without much difficulty. Will suggest this course to everyone who wants to get into Deep Learning with Images using Tensorflow.
By Vaseekaran V
•Jul 16, 2020
Really great introduction to Tensorflow. The instructor is great. Make sure to have completed the Deep Learning Specialization in order to get even better experience and practice when following this course.
By Otto D
•Mar 21, 2020
I have been looking for a long time a course like this, where the knowladge meets with practise and through the tasks it is possible to have a deep understanding how to use machine learning with tensorflow.
By Dan H
•Nov 15, 2023
This course is solid. Really enjoyed learning about ANNs. Great instruction and great learning resources. The code in the notebooks is written great, very easy to understand and reuse where appropriate.
By Mourad K
•Dec 21, 2021
really good course to get started or refresh knowledge about tensorflow. I like that some contents is let for the most curious of us so it makes the course faster for the people who already know about it.
By ADIL A
•Sep 6, 2023
Very precise and accurate course. Its been a wonderful journey throughout the course. Helped me to create base of CNN from beginning. Proved very helpful to me. I will start the next part of this series.
By Kim K
•Apr 25, 2021
Excellent, had some minor issues with features that have been deprecated in tf2.x, but nothing major. Two that come to mind are logs.get('acc') = logs.get('accuracy'). Really loved this style of teaching.
By Pablo C
•Jan 11, 2021
This training gave me and important experiential background with the tool and the knowledge behind and it has important link to go deeper. This experiential will aid me in further readings I intent to do.
By Shafique K
•Apr 14, 2020
A very informative and interactive course, helped me to get started in TensorFlow. I recommend everyone start this course which is one of the first steps to get into Tensorflow in Practice specialization.
By Abheek A
•Oct 15, 2020
Well Structured course , Thanks for the Proving Deep learning knowledge. I personally Like explainations from Andrew NG , i like his courses on youtube. May he got some upcoming Courses of ML on Coursera
By benoit v
•May 3, 2020
Perfect introduction for someone with no knowledge on AI at all. Some concepts are quite complex to understand (e.g. convolutio) but I believe that I need more practice! Thanks for this wonderful course!
By Josian Q
•Apr 30, 2020
Super useful and easy to follow. It allows me to go straight to the point and expand on my learning if I so wish. The notebooks are very well constructed and visualising convolution layers is fantastic.
By Lampros F
•Apr 26, 2020
A nice introduction to tensorflow, convolutional networks and ML for image processing, good for beginners or as a refresher if you have used old version of Tensorflow that did not have Keras integrated.
By Saptashwa B (
•Oct 12, 2019
Fantastic course for intermediate students. I liked how Laurence always gave enthusiasm to explore how convolution works through visualization. Very excited for the next courses on this specialization!!
By Rishabh M
•Apr 8, 2020
I really liked the way this course directly jumps into the coding exercises. Questions asked in the quizzes are too short and can be improved. Overall, a well designed and easy to learn course. Thanks!
By Lovi R G
•Aug 13, 2019
Superbly designed and well laid out course. Loved the way initial onboarding was done using simples of line fitting and then slowly building deeper concepts of Image processing and CNN. GREAT COURSE!!!
By Osée S
•Jan 26, 2023
I really liked the course. It was well explained and very interactive. I would like to continue the rest of the courses in the course if you allow me. Thank you. The course has been of great use to me
By Priyansh S
•Jan 7, 2023
I would highly recommend this course for someone who wants to get started into Deep Learning using TensorFlow. Do remember to work on some new projects after finishing this professional certificate.
By Seshu M
•Jul 9, 2022
The guidance provided in this course including the course content is exceptional. Mixing programming with explanation of underlying mathematics and terms was truly helpful. Kudos to the entire team.
By Sathiyaseelan S
•Jul 23, 2022
Excellent Explanation of concepts and detailed walk through of the code - how to configure the NN model from Scratch, how to compile, train and visulize and how to finally improve the model as well.
By Olusola T O
•Nov 27, 2020
I give this course 5 stars because of what I'm being able to learn within just a little amount of time. I would highly recommend this course to anyone who wishes to participate, it worth the effort!