How do I choose the right model parameters for my AI project?
Choosing model parameters involves understanding your data, the model's architecture, and the problem you're solving. What type of model are you using?
I'm using a neural network for image classification.
For neural networks, key parameters include learning rate, batch size, and number of epochs. Have you experimented with any of these yet?
I've tried different learning rates, but I'm not sure about the batch size.
Batch size can significantly affect training time and model performance. A common approach is to start with 32 or 64 and adjust based on your results.
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