Learning Tensorflow with linear regression

In this video, I will cover basics of tensorflow.
Below are the topics that will be covered:
1. Basic of linear regression
2. Basics of Tensorflow
3. Implementation of Linear regression in Tensorflow

Tool used: Python

If any doubt please comment.

Thanks for watching.

Thanks!

[iloveno]

Very good tutorial. It was fun, liked very much that you shown the errors as well.

[naximo]

Thanks a a lot bro, It s very usefull

[abcdxx]

Very good tutorial if make more videos please try to explain the data with some graphs and then using the updated weights to make prediction in real world

[krushnatkhawale]

Hi, first of thanks for the tutorial.
This is before you start with auto-mpg use case.
Cell 37: sess.run( train, {x:a, act_y:b})
Cell 38: sess.run( loss, {x:a, act_y:b})
What does that mean?
Whether both steps are required?
If explain, please elaborate.

Thanks in advance.

[adriansalazar]

This is an amazing tutorial, it was very helpful! I'm getting an error when I implement the preprocessing function to my variables, says "module is not callable". Any ideas of what I might be missing or doing wrong?

[lerneninverschiedenenforme]

Thank you for sharing. Although, your variable-naming is terrible. I hope you see, that because of your terrible naming, you got the error with the "b"-evaluation. If its a "bias", call it "bias". If it's an x-Value, call it x_value. If it's a list of x values, call it xValues. That make things more clearer to the listener and to you and will leave you with less errors / error-prone code.