salehahmedshafin/pytorch-custom-cnn-model

The architecture is a deep neural network for image processing, composed of convolutional layers capturing features, followed by pooling and fully connected layers. It uses ReLU activation, dropout for regularization, and ends with a linear output layer for classification.

Hello 👋, I'm Saleh Ahmed Shafin (Nickname is Shafin)

I am from Dhaka, Bangladesh. I am a passionate undergraduate student with a never-ending interest in science and arts. Into learning new things about technology and research with a view to solving engineering problems. I am mostly interested in Artificial Intelligence, specially solving problems using Machine Learning and Deep Learning techniques. A passionate about Machine Learning and Deep Learning.

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