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What is CNN Model Implementation in PyTorch about?

The document presents a PyTorch implementation of a convolutional neural network (CNN) model for image classification. It consists of three convolutional layers followed by max pooling, and two fully connected layers that output predictions for five classes. The model uses ReLU activation functions and includes a flattening step before the fully connected layers.

Author

huycong2004c

Language

EN