a detailed diagram of a convolutional neural network architecture, showcasing each layer in the format of a flowchart, starting with an input image leading to normalization, then through several layers of convolution (Conv Layer 1, 2, and 3), each followed by ReLU activation

Unlock the Power of CNN: Flowchart of Convolutional Neural Network Architecture

@caring-clover2024-12-07

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[Input Image] -> [Normalization] -> [Conv Layer 1] -> [Activation (ReLU)] -> [Pooling Layer 1] -> [Conv Layer 2] -> [Activation (ReLU)] -> [Pooling Layer 2] -> [Conv Layer 3] -> [Activation (ReLU)] -> [Flattening] -> [Fully Connected Layer 1] -> [Activation (ReLU)] -> [Dropout (Optional)] -> [Fully Connected Layer 2 (Optional)] -> [Output Layer: Classification / Embedding] -> [Loss Function]

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a detailed diagram of a convolutional neural network architecture, showcasing each layer in the format of a flowchart, starting with an input image leading to normalization, then through several layers of convolution (Conv Layer 1, 2, and 3), each followed by ReLU activation

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