AlexNet for CIFAR-10

This is a TensorFlow/Keras implementation of the classic AlexNet architecture trained on the CIFAR-10 dataset.

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Model Details

• Architecture: AlexNet (adapted for CIFAR-10)
• Dataset: CIFAR-10 (10 classes)
• Framework: TensorFlow/Keras
• Input size: 227x227 RGB images

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🔗 Links

• GitHub Repository: CNN Models GitHub Repo
• Streamlit: Link

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Usage

from tensorflow import keras
model = keras.models.load_model("path_to_your_downloaded_model")
# or directly from Hugging Face (if hosted as a TensorFlow SavedModel or Keras model)

# Example prediction code:
import numpy as np
from PIL import Image

img = Image.open("path_to_image.jpg").resize((227, 227))
img_array = np.array(img) / 255.0
img_array = np.expand_dims(img_array, axis=0)  # batch dimension

preds = model.predict(img_array)
print(preds)