Instructions to use aap9002/RGB_Optic_Flow_Bend_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aap9002/RGB_Optic_Flow_Bend_Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aap9002/RGB_Optic_Flow_Bend_Classification") - Notebooks
- Google Colab
- Kaggle
update model - accuracy: 0.7238 - loss: 0.7154 - val_accuracy: 0.6297 - val_loss: 0.9078 - learning_rate: 6.2500e-05 epoch 169 of 300
Browse files
RGB_LARGE_bend_classification.keras
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