How do I choose the right architecture for my model?
An example of an AI chatbot conversation about selecting the best model architecture.
I'm trying to build a machine learning model. How do I choose the right architecture?
Choosing the right architecture depends on your data type, problem complexity, and performance requirements. What kind of data are you working with?
I have a lot of images and I want to classify them.
For image classification, convolutional neural networks (CNNs) are often the best choice. Have you considered using pre-trained models?
Yes, but I'm not sure how to fine-tune them for my specific dataset.
Fine-tuning involves adjusting the model's weights on your dataset. You can start by freezing some layers and training the rest. Would you like more details on that?
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