GitHub

Deep-Learning-topics.md

Q1. Padding = "same" vs padding ="Valid"? Ans: Padding is a technique used in convolutional neural networks (CNNs) to preserve the spatial dimensions of the input ...
GitHub

Neural Network with Batch Normalization, Dropout and Different Optimizers

This repository contains the implementation of a simple neural network model with batch normalization and dropout layers for regularizing and improving the training of the model. Furhtermore they are ...
IEEE

Re-Thinking the Effectiveness of Batch Normalization and Beyond

Abstract: Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent ...
IEEE

On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks

Abstract: Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN ...