Tried several ML and DL models for 0-9 Digit Classification using MNIST Dataset
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May 27, 2024 - Jupyter Notebook
Tried several ML and DL models for 0-9 Digit Classification using MNIST Dataset
CNN based on LetNet5 run on GPU/CPU to classify people faces by label person name and by label emotion that the person exhibits in the image. Assignment part of Imperial University's ML/AI Certification.
LeNet-5 with SAM, Generalization
This project is a real-time traffic sign recognition system built using Python, OpenCV, and a pre-trained CNN model, capable of detecting and recognizing traffic signs from images.
The Computer Vision Course Projects.
Implementation of LeNet-5 on MNIST Dataset in PyTorch
Automated Selfie System is a Python-based project that utilizes computer vision and deep learning techniques to capture selfies automatically. When we run the code the detects smile using LENET 5 architecture in the backend. Capture selfies effortlessly and hands-free. User-friendly, convenient, and fun.
Extract characters from license plates with high accuracy. Utilizes LeNet-5, AlexNet, and ResNet50 models. Results, considerations, and possible improvements discussed
simple project to train a model to recognize the persian letters in an image.
En este repositorio se pueden ver diversas fases de la creación y elección de una CNN para predecir el sexo de tilapias por medio de imágenes enfocadas en las papilas genitales.
This is an implementation of the LeNet-5 architecture on the Cifar10 and MNIST datasets.
On this notebook, I compared between MNIST dataset and CIFAR-10 with applying LeNet-5 architecture on both of them, and it results that LeNet-5 works better with MNIST as it's grayscale dataset, the architecture is used for recognizing the handwritten and machine-printed characters.
LeNet-5 Image Classification project demonstrates the power of the LeNet convolutional neural network for character and digit recognition in grayscale images.
PyTorch 實作 LeNet 手寫數字辨識
[WIP] LeNet-5 convolutional neural network written from scratch in C++
Image recognition on Persian digits with LeNet-5 neural network.
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