Abstract: This research focuses on implementing a Convolutional Neural Network based handwritten digit recognition system on an FPGA (Field Programmable Gate Array), specifically focusing on utilizing ...
This repository contains a PyTorch implementation of the Lottery Ticket algorithm introduced by Frankle et al. in "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" [1] and ...
Diverse Domains Covered: Projects span NLP, vision, speech, and time-series. Tool-Centric Learning: Emphasis on libraries like TensorFlow, OpenCV, and Hugging Face. Practical and Scalable: Each task ...
In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...
Abstract: The capability of ML (Machine Learning) algorithms to recognize images of handwritten numerals is known as HDR (Handwritten Digit Recognition). Because handwritten numerals are imperfect and ...
Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...
Data Science expert with desire to help companies advance by applying AI for process improvements. This publication provides an in-depth overview of various neural network layers, including their ...
This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb’s plasticity mechanism on neuromorphic ...
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