my frist cnn program, it can use picture to train and save the cnn model.
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Updated
Jul 25, 2018 - Python
my frist cnn program, it can use picture to train and save the cnn model.
LeNet-Convolutional Neural Network for CIFAR-10 Classification Dataset
Backend para el modelo lenet de clasificación de imágenes.
Using lenet for Traffic Sign Recognition
Classify Traffic Signs.
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.
Create a Convolutional Neural Network using TensorFlow.
Digit Recognition using LeNet – Convolutional Neural Network in Python
Implementation of Image Classification with Convolutional Neural Network
Implementation of ViT (Vision Transformer) and LeNet from scratch using PyTorch for the MNIST classification task. Ran multiple experiments to understand the impact of dataset size, network depth, optimizer, learning rate, and batch size on model performance
This is project to classify traffic signal. This is an assignment of Self Driving Car Engineer nano degree course offered by Udacity.
Code and reports of the two homework for the Machine Learning course (Winter 2020)
LeNet example
LeNet architecture implementation for MNIST
This repository contains implementation of some deep neural networks by Keras.
Implementation of Convolutional Neural Network - LeNet
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