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?
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.
By Prashant J•
Really good. Its been a wonderful to look deeper into the Tensorflow, and to know about new tools which are very useful during training such as callbacks in keras,
Friendly to beginners. Great start point for people who want to program with tensorflow. Introduced basic workflow of dealing with image classification problems.
By Rajesh V•
This is an excellent introduction to Tensorflow. I had experience with ML, but Tensorflow helps speed to market. The course material and presentation is awesome.
By José L B•
This is a very nice course, Laurence has a way to make the course easy going and interesting, and the practical exercises are very good to begin with TensorFlow.
By Irfan A K•
A very good, quick summary of the basics of tensorflow using simple problems. Callback was very helpful to learn about, thanks for clarifying the code for that!
By Muhammad H•
An Exceptionally good starter for Machine Learning Experts. It has all ingredients to immediately start coding. It helped me a lot to resolve few of my problems.
By Kavan P•
It's a good course to boost your data science path specially in deep learning if you want to progress in object detection part.
Thanks for providing this course.
By Apratim G•
Excellent course, the pace is also good, short and informative videos, exercise also structured well some things purposefully left out to enhance self-learning.
By TEJAS P•
An Amazing introduction to the practical applications of Deep Learning. Everything was really well explained and the course progressed in a step by step manner!
By Vilhelm v E•
Nice course and the assignments were nicely integrated and relevant. Still think it would be nice if the goal was more relevant than to just overfit every time.
By Jon B•
Awesome introduction to Tensorflow. I've taken Deep Learning theory courses, but this is my first exposure to a DL library. Looking forward to the next courses.
By Antti R•
Good exercises that were easy to follow. The jumping between Jupyter and colab was a bit annoying especially as I wanted to copy the content to my own computer.
I think this course is very practical and hands-on. The design of this course is precise and comfortable for me who is not an expert in this field. Thanks again
By Mathias T•
My goal and hope was to teach me how to use machine learning in practice. The course gave me a fast track of implementing machine learning in Colab TensorFlow.
By Abubakr S•
Great course to get started with building Convolutional Neural Networks. This is probably the best way to get beginners into Deep Learning for Computer Vision.
By Prantik D•
Everything is top class from teaching to assignment or quiz, best course in internet about Tensorflow .
Thank you Instructor Laurence Moroney and Coursera team.
By Sanjeev K Y•
This specialization gives a very thorough use of the Tensorflow and after this course completion, I will be more confident about using Tensorflow for projects.
By ongole s s•
had a great experience in learning tensorflow for CNNs and very interesting to write complex algorithms in few lines of code.Thanks to coursera and instructors
By Jerry H•
I appreciated the opportunity to see how the basic codes works, and dive a bit more into the details. Does a great job of demonstrating the power of TensorFlow
By hiten s•
Amazing Course And Build The convolution and dense neural network with a fewer line of code. And Also the Learn About the Google Colab and The it's GPU and TPU
By Haitham A•
Straight forward and direct to the point. Very good pace for newbies and to refresh knowledge. It also guides to another resources for more deep understanding
By Akhash S S•
This course helped me understand the fundamentals of neural networks, data preprocessing, optimizers, loss functions, normalization, and convolution filters.
By Camilo A N S•
This is an amazing course, there are too many concepts that we don't know but they do it really easy to learn. I'm definitely excited for taking next course.
By Wingyuen P•
Well done overall. But some explanation of how the images are resized (i.e. cropped or squished) would be good, not to mention the pitfalls of doing either.
By Anwar S•
well designed course with simple introduction. Slowly increasing the level in assignments helps in increasesing the confidence of students at a higher rate.