Factorization Machines

Factorization Machines class= Factorization Machines (FM) the model and applications to the problem of sparse data for prediction in recommender systems. Read More...

Backpropagation In Convolutional Neural Networks

Backpropagation In Convolutional Neural Networks class= A closer look at the concept of weights sharing in convolutional neural networks (CNNs) and an insight on how this affects the forward and backward propagation while computing the gradients during training Read More...

Formulating The ReLu

Formulating The ReLu class= A critical review of the rectified linear activation function (ReL) as an elementary unit of the modern deep neural network architecture Read More...

Initialization Of Deep Networks Case of Rectifiers

Initialization Of Deep Networks Case of Rectifiers class= This is the third of a three part series of posts that attempts to decipher the weight initialization algorithms as developed by various researchers as influenced by the evolution of neural network architecture. Read More...