I couldnt understand the significance of bias term in z.
explain please!!
Artificial Vs Biological Neurons
Hey shalini,
bias term can be understand in a similar context of a logistic regression or a linear regression, where we used theta0 . I assume you understand the significance of theta0.
For e.g - Let’s take the example of a linear regression where x feature is number of hours you study and y is marks you get. Here most of the times you can observe if a student studies 0 hours still he will score some marks say 40, this term is called bias. so writing the line equation y=x is not true. instead hypothesis should y=x+40 . neural network is a logistic unit repeated many times. So, if bias term is important in linear or logistic regression, it is also important in NN.
If you want some constant value should always be added in Z, this should be bias term. This is a parameter learnt while training the model, so it can be 0, negative or positive no.
I hope this cleared your doubt
Thanks 
I hope I’ve cleared your doubt. I ask you to please rate your experience here
Your feedback is very important. It helps us improve our platform and hence provide you
the learning experience you deserve.
On the off chance, you still have some questions or not find the answers satisfactory, you may reopen
the doubt.