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:
- 71408a649033d113ac720aa09f05820a79918c006a7adea73845694433dc2847
- Size of remote file:
- 24.7 kB
- SHA256:
- 3d373b655423cfffd37b4d06af899fc6c5ffd05778b7f406c5cdb7da97fc646f
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