~99.50% accuracy on MNIST in PyTorch
-
Updated
Jul 5, 2023 - Python
~99.50% accuracy on MNIST in PyTorch
Implementation of LeNet-5 on MNIST Dataset in PyTorch
Lenet customisation with more filters, 3*3 filters, Relu activation fucntion
The MNIST classification model using the LeNet network with Tensorflow and Keras
A Pytorch implementation of a customized LeNet-5 algorithm designed to give best results on the classic MNIST dataset.
Classify images of handwritten digits with a LeNet Convolutional Neural Network and a Deep Neural Network
Implementation of LeNet-5, AlexNet, VGG-16 as explained by Andrew NG in Deeplearning.AI
Implementation of LeNet DNN Model
Create a LeNet convolutional neural network to classify images of road signs.
Image processing library
TrafficSignalClassification Keras Lenet
Experimenting with MNIST using the MXNet machine learning framework
Handwritten Digit Recognition - MNIST
Simple example of a neural network with Tensorflow plus a toy example using MNIST and LeNet architecture with Keras
Machine Learning Course Design
Add a description, image, and links to the lenet-mnist topic page so that developers can more easily learn about it.
To associate your repository with the lenet-mnist topic, visit your repo's landing page and select "manage topics."