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Image classification model built with TensorFlow and Keras to distinguish cats vs dogs using deep learning and computer vision techniques. The model employs a convolutional neural network (CNN) architecture and is trained on the Dogs vs Cats dataset. This implementation serves as an end-to-end tutorial for applying dl to image classification.
GHUFRAN-HYDER/computer-vision-classification
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Image classification model built with TensorFlow and Keras to distinguish cats vs dogs using deep learning and computer vision techniques. The model employs a convolutional neural network (CNN) architecture and is trained on the Dogs vs Cats dataset. This implementation serves as an end-to-end tutorial for applying dl to image classification.
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