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Import the necessary libraries (e.g., TensorFlow).
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Create or load your neural network model.
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Compile the model by specifying an optimizer, a loss function, and evaluation metrics.
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Finally, use the model.fit method to train the model on your training data, specifying the number of training epochs and providing validation data.
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Developed an image classification script using TensorFlow and Convolutional Neural Networks (CNNs), utilizing the Keras dataset with ten classifications. Trained the neural network to recognize those and then applied the model to classify images from the internet, demonstrating its real-world applicability and accuracy.
DularaWijerathne/Image_Classification
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Developed an image classification script using TensorFlow and Convolutional Neural Networks (CNNs), utilizing the Keras dataset with ten classifications. Trained the neural network to recognize those and then applied the model to classify images from the internet, demonstrating its real-world applicability and accuracy.
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