Instructions to use arawxnda/iris-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use arawxnda/iris-classifier with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("arawxnda/iris-classifier") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Iris Flower Classifier
Model Neural Network untuk mengklasifikasi 3 jenis bunga Iris.
Input (4 fitur)
- sepal_length (cm)
- sepal_width (cm)
- petal_length (cm)
- petal_width (cm)
Output
- 0: Iris-setosa
- 1: Iris-versicolor
- 2: Iris-virginica
Arsitektur Model
Input(4) โ Dense(64, relu) โ BatchNorm โ Dense(3, softmax)
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