Which technique involves leveraging a pre-trained model on a new, but related task?
- Transfer Learning
- Unsupervised Learning
- Reinforcement Learning
- Ensemble Learning
Transfer Learning is the technique that involves leveraging a pre-trained model on a new, but related task. It allows you to take advantage of knowledge acquired from one domain and apply it to a different but related problem, which can save time and resources in training deep learning models.
Loading...
Related Quiz
- Which type of data can often be represented as a combination of structured tables with metadata or annotations?
- The gradient explosion problem in deep learning can be mitigated using the _______ technique, which clips the gradients if they exceed a certain value.
- You are working on a project where you need to predict the next word in a sentence. Which type of neural network architecture would be most suitable for this task?
- In CNNs, the layers that preserve the spatial relationships between pixels by learning image features through small squares of input data are called _______ layers.
- In NLP, which technique allows a model to pay different amounts of attention to different words when processing a sequence?