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3. Training or Using Pre-trained Models

• Training from Scratch: This involves collecting a dataset, preprocessing it, and then training your model from scratch.
• Transfer Learning: Often, using a pre-trained model (like VGG16, ResNet50 for images) and fine-tuning it on your dataset can be more efficient, especially if you have a small dataset.