0.70.x - 0.74.x 1.0.x Old Architecture Fully Supported 0.75.x - 0.78.x 1.0.x Old & New Architecture Fully Supported Note: This library requires prebuild because it uses native iOS Vision Framework and ...
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
Python 3.10 & PyTorch 2.1 with CUDA. Use conda to install a virtual environment. The following steps have been tested on Miniconda3. conda create -n loc-cbm python=3.10 conda activate loc-cbm conda ...
Handwritten Digit Recognition using Ensemble learning techniques: A Comparative performance Analysis
Abstract: The detection of some digits written by humans may seem very easy; however, in reality, it is a very challenging and tedious task to extract text from real images because of the wide variety ...
Abstract: This paper explores the application of deep learning algorithms, particularly Convolutional Neural Networks (CNNs), for Arabic handwritten digit recognition. The dataset used in this study ...
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