How do I design a neural network for image classification?

How do I design a neural network for image classification?

To design a neural network for image classification, start by defining the architecture, such as the number of layers and neurons.

What types of layers should I include?

You should include convolutional layers for feature extraction, pooling layers for down-sampling, and fully connected layers for classification.

How do I choose the activation functions?

Common choices are ReLU for hidden layers and softmax for the output layer to handle multi-class classification.

What about the training process?

You'll need to prepare your dataset, choose a loss function, and use an optimizer like Adam to train your model.