Transfer Learning
Group: 4 #group-4
Relations
- Reinforcement Learning: Transfer Learning aims to leverage knowledge from one task to improve learning on a related task.
- Convolutional Neural Networks: Transfer Learning can be used to leverage pre-trained Convolutional Neural Networks for new tasks
- Neural Networks: Transfer learning involves using pre-trained neural networks as a starting point and fine-tuning them on a new task, which can improve performance and reduce training time.
- Deep Learning: Transfer learning involves using pre-trained deep learning models as a starting point for new tasks, reducing training time and data requirements.