Bird-Sound-Classification-using-Deep-Learning

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Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.

algorithms audio bird bird-species-classification classification cnn cnn-classification cnn-keras cnn-model data

Creat：2024-05-17T20:45:31

Update：2025-06-13T16:39:05

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