Neural network hyperparameters shape how the network functions, and determine its accuracy and validity. Hyperparameters are an unsolved problem – there are various ways to optimize them, from manual trial and error...

Lasso Regression

The term big data refers to the rapid increase in data in the organizations and societies of today. Deep learning is a recent and powerful tool, which organizations and cities use to...

CNN and RNN

Deep belief networks are a class of deep neural networks algorithms that are modeled after the human brain, giving them a greater ability to recognize patterns and process complex information. In this...

Applications of LSTM

Additional RNN extensions