ML Zoomcamp 2023 – Deep Learning – Part 11

Regularization and Dropout When training a model for 10 epochs, then the model will see the same image 10 times. If there is a special sign like a logo, the model recognize it and tend to declare everything as t-shirt that has that logo. That means the model could make many mistakes in classification inContinue reading “ML Zoomcamp 2023 – Deep Learning – Part 11”

ML Zoomcamp 2023 – Machine Learning for Regression – Part 11

Regularization The topic for this part is regularization as a way to solve the problem of duplicated columns in our data. Remember the formula for normal equation is: w = (XTX)-1*XTy The problem what we have is connected with the first part (XTX)-1. We need to take an inverse of the GRAM matrix. Sometimes thisContinue reading “ML Zoomcamp 2023 – Machine Learning for Regression – Part 11”