Vanishing And Exploding Gradient Problems

Vanishing And Exploding Gradient Problems class= 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" (504) 428-7652

Factorization Machines

Factorization Machines class= Factorization Machines (FM) the model and applications to the problem of sparse data for prediction in recommender systems. 779-303-8155

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 6183448775

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 602-814-7869