Investigation on handling Structured & Imbalanced Datasets with Deep Learning
Introduction While Deep Learning has shown remarkable success in the area of unstructured data like image classification, text analysis and speech recognition, there is very little literature on Deep Learning performed on structured / relational data. This investigation also focuses on applying Deep Learning on structured data because we are generally more comfortable with structured data than unstructured data. After extensive investigations, it does seem that Deep Learning has the potential to do well in the area of structured data. We investigate class imbalance as it is a challenging problem for anomaly detection. In this report, Deep Multilayer Perceptron (MLP) was implemented using Theano in Python and experiments were conducted to explore the effectiveness of hyper-parameters. It was seen that increasing the depth of the neural network helped in detecting…
Link to Full Article: Investigation on handling Structured & Imbalanced Datasets with Deep Learning
Investigation on handling Structured & Imbalanced Datasets with Deep Learning
