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What is transfer learning in the context of CNNs?
Practice Questions
Q1
What is transfer learning in the context of CNNs?
Training a model from scratch on a new dataset
Using a pre-trained model on a new but related task
Combining multiple models to improve performance
Fine-tuning hyperparameters of a model
Questions & Step-by-Step Solutions
What is transfer learning in the context of CNNs?
Steps
Concepts
Step 1: Understand that CNNs (Convolutional Neural Networks) are a type of model used for tasks like image recognition.
Step 2: Know that training a CNN from scratch requires a lot of data and time.
Step 3: Learn about pre-trained models, which are CNNs that have already been trained on a large dataset (like ImageNet).
Step 4: Realize that transfer learning means taking this pre-trained model and using it for a new task that is similar to the original task.
Step 5: Understand that by using a pre-trained model, you can save time and get better results because the model already knows useful features.
No concepts available.
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