kadirnar/Pyorch-LeNet5
PyTorch implementation of LeNet5
This project helps machine learning engineers and researchers quickly implement and experiment with a classic convolutional neural network, LeNet5, for image classification tasks. It takes a 32x32 grayscale image as input and outputs a classification across 10 distinct categories. This is ideal for those who need a foundational model for visual recognition.
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Use this if you are a machine learning engineer or researcher exploring fundamental image classification models with a well-established architecture.
Not ideal if you need to classify complex, high-resolution color images or require state-of-the-art performance for diverse visual recognition challenges.
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Language
Python
License
MIT
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Last pushed
Sep 25, 2022
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