AI digit classifier using pytorch
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Updated
Jul 28, 2023 - Python
AI digit classifier using pytorch
Implementation of a neural network model with backpropagation algorithmfor image classification using the MNIST dataset, featuring experiments varying learning rates, momentum, hidden units, and training data sizes
Machine learning project for digit recognizer challenge in Kaggle using just numpy, no TF. %85 accuracy
NeuroAI - Digit Classification Artificial Neural Network
This app can classify handwritten digits (0-9) drawn on the screen. It was created by implementing a model coded with Tensorflow in Python and then serving that file via the Tensorflow Inference java library.
The handwritten Digits Classification model classifies different handwritten digits(from the dataset) to their categorical targets using deep Convolutional neural networks.
A feed-forward neural network for digital classification
Simple NN digit classifier in plain C
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