21 May 2018
A look at the problem of vanishing or exploding gradients. Two of the common problems associated with training of deep neural networks using gradient-based learning methods and backpropagation"
27 Mar 2017
Factorization Machines (FM) the model and applications to the problem of sparse data for prediction in recommender systems.
05 Sep 2016
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
24 Aug 2016
A critical review of the rectified linear activation function (ReL) as an elementary unit of the modern deep neural network architecture