Relu, Neural Networks, Deep Learning, Data Science, Machine Learning.
a given dataset where the input-output mapping function is unknown. An architecture with too many neurons is prone to overfitting, high variance, and requires more time to train. Therefore, an appropriate number of hidden units should be large enough to properly fit the data and at the same time,