With Keras is very easy to implement ANN in Python.

Have a look at https://medium.com/@cdabakoglu/artificial-neural-network-with-keras-d858f82f90c5

Simple question, not so simple solution.

im working on numerical prediction, i scaled data before ann training. now i need to predict for test data and evaluate model evaluation parameters. how to backscale the results for evaluation?

Hi Jeevan C. ,

You can invert the normalization like this:

from sklearn.preprocessing import MinMaxScaler

scaler = MinMaxScaler()

X_scaled = scaler.fit_transform(X, feature_range=(0,1)) #scaling your X data between 0 and 1 values

print(X_scaled)

#invert scaling

X_scaled_inverted = scaler.inverse_transform(X_scaled)

print(X_scaled_inverted)

Thank you all for your time... Your answers really helped me... Thanks again