Machine Learning, Deep Learning, Data Science, Artificial Intelligence, Python.
rate with partial derivation of Error wont be a big change when compared with previous iteration. For ex:- Lets say the value decreased like 0.863 →0.532 →0.356 →0.192 →0.117 →0.086 →0.023 →0.019.. you can see that there is no much change in last 3 iterations. This Vanishing of Gradience is called