Deep-Learning-for-Object-Recognition
PublicThis 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.
Creat：2024-06-27T19:26:20
Update：2024-06-27T20:38:23
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