Birth of Error Functions in Artificial Neural Networks

This talk was delivered in PyData meetup. This was an amazing meetup with great talks and ideas being discussed! Thanks to organizers, I was also invited to give a talk. Below is the summary:
In this talk we learn about what Artificial Neural Networks (ANNs) are, and find out how in general, Maximum Likelihood Estimations and Bayes’ Rule help us develop our error functions in ANNs, namely, cross-entropy error function! We will derive the binary-cross entropy from scratch, step by step. 
Below you can see the video of this talk, however, the slides and some code is available. I would highly recommend you to follow the talk through these slides.

The slides are available here!
The link to the post regarding the Demo is available in here!
I do hope that this talk would be useful
Best of Luck


Leave a Comment

Your email address will not be published.