2 citations · 3 across the 6 of their papers we have counts for
6 papers
Handwritten image augmentation
Mahendran N
In this paper, we introduce Handwritten augmentation, a new data augmentation for handwritten character images. This method focuses on augmenting handwritten image data by altering…
Squeeze aggregated excitation network
Mahendran N
Convolutional neural networks have spatial representations which read patterns in the vision tasks. Squeeze and excitation links the channel wise representations by explicitly mode…
Variations of Squeeze and Excitation networks
Mahendran NV
Convolutional neural networks learns spatial features and are heavily interlinked within kernels. The SE module have broken the traditional route of neural networks passing the ent…
Memory visualization tool for training neural network
Mahendran N
Software developed helps world a better place ranging from system software, open source, application software and so on. Software engineering does have neural network models applie…
Analysis of memory consumption by neural networks based on hyperparameters
Mahendran N
Deep learning models are trained and deployed in multiple domains. Increasing usage of deep learning models alarms the usage of memory consumed while computation by deep learning m…
Deep Learning for Fitness
Mahendran N
We present Fitness tutor, an application for maintaining correct posture during workout exercises or doing yoga. Current work on fitness focuses on suggesting food supplements, acc…