Applying a softmax based neural network to predict customer category
Using tensorflow to create a custom neural network to carry out multi-class customer classification after data preprocessing like label-encoding and one-hot-encoding and normalisation Then we optimise the choice of regularisation parameter by comparing loss on validation set to balance the trade off between bias and variance or underfitting and overfitting and then using the weights trained earlier to carry out inference using custom functions to build a neural network