DeepAI
Log In Sign Up

Tamil Vowel Recognition With Augmented MNIST-like Data Set

06/09/2020
by   Muthiah Annamalai, et al.
0

We report generation of a MNIST [4] compatible data set [1] for Tamil vowels to enable building a classification DNN or other such ML/AI deep learning [2] models for Tamil OCR/Handwriting applications. We report the capability of the 60,000 grayscale, 28x28 pixel dataset to build a 92 82 also report a top-1 classification accuracy of 70 accuracy of 92

READ FULL TEXT

page 2

page 4

page 7

12/28/2020

Convolutional Neural Networks in Multi-Class Classification of Medical Data

We report applications of Convolutional Neural Networks (CNN) to multi-c...
08/18/2020

Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition

NumtaDB is by far the largest data-set collection for handwritten digits...
05/19/2019

A Novel Chaos Theory Inspired Neuronal Architecture

The practical success of widely used machine learning (ML) and deep lear...
03/13/2020

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

In this paper, we introduce the TrojAI software framework, an open sourc...
08/29/2022

Dimension Independent Data Sets Approximation and Applications to Classification

We revisit the classical kernel method of approximation/interpolation th...
07/27/2018

Symbolic Execution for Deep Neural Networks

Deep Neural Networks (DNN) are increasingly used in a variety of applica...
11/03/2021

Virus-MNIST: Machine Learning Baseline Calculations for Image Classification

The Virus-MNIST data set is a collection of thumbnail images that is sim...