Experimenting with MNIST using the MXNet machine learning framework
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Updated
Jan 4, 2018
Experimenting with MNIST using the MXNet machine learning framework
The MNIST classification model using the LeNet network with Tensorflow and Keras
Simple example of a neural network with Tensorflow plus a toy example using MNIST and LeNet architecture with Keras
Implementation of LeNet-5, AlexNet, VGG-16 as explained by Andrew NG in Deeplearning.AI
Create a LeNet convolutional neural network to classify images of road signs.
Classify images of handwritten digits with a LeNet Convolutional Neural Network and a Deep Neural Network
Handwritten Digit Recognition - MNIST
Image processing library
numpy lenet implementation.
Implementation of LeNet DNN Model
TrafficSignalClassification Keras Lenet
Lenet customisation with more filters, 3*3 filters, Relu activation fucntion
A Pytorch implementation of a customized LeNet-5 algorithm designed to give best results on the classic MNIST dataset.
Machine Learning Course Design
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