Deep-Learning-for-Object-Recognition

Public

This project explores various deep learning architectures for object recognition. It's structured into three main approaches: Feedforward Neural Networks (ffNN), Convolutional Neural Networks (CNN), and Transfer Learning (tLearning). Each method is designed to evaluate different strategies and improve the accuracy of object recognition.

computervision deeplearning objectrecognition

Creat：2024-06-27T19:26:20

Update：2024-06-27T20:38:23

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