LiteRT
Keras
English
tensorflow
emotion-recognition
vgg19
ckplus
rafdb
fine-tuning
computer-vision
deep-learning
facial-expression
affective-computing
Eval Results (legacy)
Instructions to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4adaaf49606909ed252031e5a14e6bf38998c139313b63f5880b5592f327453a
- Size of remote file:
- 35 kB
- SHA256:
- d52fdae7c4d84057790f95b60b2ccef495300811b3fce848c3bf9082ffc6b863
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