Fashion businesses have used CNN on their e-commerce to solve many problems such as clothes recognition, clothes search and recommendation. A core step for all of these implementations is image ...

This repository contains Python code for ... The project utilizes two datasets: the standard MNIST 0-9 dataset and the Kaggle A-Z dataset. The OCR model is trained using Keras and TensorFlow, while ...

In this research, we present a Python implementation ... [3] is one CNN architectures for image classification pioneer. AlexNet is able to enhance image classification accuracy on the ImageNet dataset ...

This study presents a deep Convolutional Neural Network (CNN) model for automated COVID-19 RATD image classification ... an HTML template is used along with a python script. The complex image dataset ...

The obtained RPs of EEG and fNIRS were fed as images into the hybrid CNN-LSTM network for classification ... processing was performed using Python on Spyder in the Anaconda development environment.

James McCaffrey of Microsoft Research details the "Hello World" of image ... MNIST CNN Demo Program # mnist_cnn.py # PyTorch 1.10.0-CPU Anaconda3-2020.02 Python 3.7.6 # Windows 10 # reads MNIST data ...