In this episode of sigmoid, we will talk about different ways in which we can convert text into machine learnable format, adding to that we will also discuss a few-shot learning method that will really help our model to do better classification.
This episode of SIGMOID sheds some light on different types of activation functions and some of the major advantages and disadvantages that are associated with the same.