https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning

3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization

Last synced: about 2 months ago
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Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

• Host: GitHub
• URL: https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning
• Owner: harmanveer-2546
• Created: 2024-06-15T17:39:58.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-19T09:12:54.000Z (7 months ago)
• Last Synced: 2024-06-19T20:00:33.693Z (6 months ago)
• Topics: 3d-graph, callback, deep-learning, eda, gui, gui-application, image-generator, imageclassification, keras-tensorflow, matplotlib, maxpooling, mobilenetv2, numpy, opencv, pillow, plotly, python, seaborn, transfer-learning, visualization
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/datasets/gpiosenka/100-bird-species
• Size: 204 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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