I less start because being pretty green with Neural Networks, there were some concepts that I did not understand right off the bat

I appreciated the bite-size introduction of the concepts involved. It has given me the confidence to handle more complex concepts.

Good intro to tensorflow and using Convolutions, even though too much boilerplate provided. Can also include RNN implementations.

The course was good. But, they are explained very briefly. I think, the video length could be increased for better understanding.

I learned a lot about image processing, TensorFlow and CNN.

The exercises are useful to practise the coding and concepts.

Thank you

good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem

Some comments weren't well adjusted.... Seems the team was a bit lazy during the last week Programming Assignment Documentation.

Everything is good but can do better if the instructor can give a gist about the various functions being used like softmax, etc

Really good introduction provided for tensorflow. A little more depth if provided for tensorflow concepts would have been good.

Good course to start tensorflow if you have no prior experience. Content is nicely organized and gives a overview of the topic.

Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.

Would prefer to build code from scratch every time rather than use pre built notebooks. Otherwise well paced and I enjoyed it.

The course is good for understanding Keras API, but lacks of explanation of what backpropagation is and other important stuff.

This course is very helpful in getting a quick intro to the TensorFlow framework if you already know basics of Deep Learning.

The course is very well set for learning it give full experience of learning and the course instructor is very great teacher

I faced many problem with the grader. Please fix it. You can see from the forum that are many people facing problem with it.

Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.

I learned overview of TensforFlow librarby and convoluation layer. Know about classification in computer vision application

good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.

The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.

Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.

Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.

Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.

Still well worth taking.

The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better

this lecture provides a good starting for learning Tensorflow.

there are good exercises with doing actual python coding,