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OWLab
/
Optic-flow-CNN-15x15

Keras
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xet
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Instructions to use OWLab/Optic-flow-CNN-15x15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use OWLab/Optic-flow-CNN-15x15 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://OWLab/Optic-flow-CNN-15x15")
    
  • Notebooks
  • Google Colab
  • Kaggle

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Collection including OWLab/Optic-flow-CNN-15x15

Optic-flow-CNNs-15x15

Collection
Optic flow datasets created and accuracy optimized CNNs and MLPs trained for our paper Layton & Steinmetz (2024). Frontiers in Neuroscience. • 12 items • Updated Aug 15, 2024
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