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Introduction to CNN architecture: convolutional layers, pooling layers, fully connected layers
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Understanding feature extraction and representation learning
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Training CNN models with TensorFlow/Keras
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Transfer learning and fine-tuning pre-trained models
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Hands-on: Implementing CNNs for image classification and object detection
