CNN architecture, image classification, neural network, deep learning, computer vision, convolutional layer, pooling layer, fully connected layer, ReLU activation, softmax output, dataset, training, testing, accuracy, precision, recall, F1 score, batch normalization, dropout regularization, stochastic gradient descent, Adam optimizer, learning rate scheduler, GPU acceleration, real-time processing, medical image analysis, object detection, facial recognition, natural scenery classification, product categorization, fashion item identification.