NumPy-based feed-forward neural network
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Updated
Feb 3, 2024 - Python
NumPy-based feed-forward neural network
Hand written digits recognition using simple gradient descent on MNIST data
This repository includes a study that aims to apply classification on well-known MNIST dataset. Detailed info in ReadMe
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
Performing Handwritten Digit Classification on MNIST dataset using PyTorch-Lightning
MNIST Digits Classification with numpy only
Study of leNet implementation in Python3.6 with Keras+Tensorflow backend.
Neural networks for digit classification trained using the MNIST database
An implementation of the MNIST neural network for use in backend ML systems.
MNIST classification using scikit-learn
A simple handwritten digit classifier NN implemented from scratch in C++.
A CNN for MNIST Dataset in Python
MNIST classifier with tensorflow and a 2 hidden layer deep neural network
Naive Implementation of PyTorch framework to solve the MNIST-Digit_Recognition Problem
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
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