good course

Good course

Loved it...

good course

very basic

Very Easy.

Very basic

too basic

Too Basic

very good

Awesome!

Awsome!

like it

good

nice

best

Good

good

good

Easy

easy

入门难度

Great introductory course. The two instructors provided a nice introduction to the topics.

3 points of feedback, however. 1: The forums need to be monitored more by Coursera staff; there are many great questions (some basic) in the forums that are unfortunately never answered. 2: The grading app needs to be quality reviewed/reworked. I found myself having to consistently delete the last two unnecessary cells in the submitted notebook [something not very well documented]. Also, the error messages from a non-pass submittal are vague and not very informational. What's causing the syntax error in line xx? The syntax is perfectly fine. Code may be pefectly correct, yet fail the grader algorithm due to these quirks. 3: What is an "adam" optimizer and why am I using it? Even if it's complicated, a note about why it's out of scope and we need to use it here because of X would be very helpful for beginners.

Thank you!

The programming assignment submission system needs work. The course content is decent but very unhappy with submission system. It is very challenging to submit. I spent more time on the first two assignments figuring out how to submit than I did on the assignment themselves. I had the correct work -but the submission system stinks. Also there are issues with differing versions of python/tensorflow; I got hung up by slight changes in tensor flow api -- key values 'accuracy' versus 'acc' were challenging to debug. Ultimately I found it easier to first develop the solution on my local computer -- I would get the code running correctly. Then I would copy/paste that into the colab notebook -- but here is where I ran in to trouble -- differing versions of tensorflow. But it wasn't only me -- in fact some of the class examples had the same exact issue with key values 'acc' versus 'accuracy'.

The material is very good and comprehensive and the instructors are motivating and well-versed experts. However, for an INTRODUCTION to TensorFlow this course lacks complete introduction into TensorFlow. The very first exercise just dives into the code and does not explain with a single word how TensorFlow is structured, how the library is build, where to find important functions, what important imports are and so on and so one. You have to copy and paste the code 1:1 to get it running without understanding anything about the framework. This is a really poor approach for introducing such a powerful framework. I would have expected at least one introductory video about Tensorflow, its structure and components and what are the most important modules to work with, where you can find which function and so on (keras in tf.keras as high-level module, important functions in tf.nn to work with NN)