3 questions about Deep Learning

1. What is the difference between supervised and unsupervised learning in deep learning?

Supervised learning involves labeled data while unsupervised learning involves unlabeled data.

- Source: "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

2. What is backpropagation in deep learning?

Backpropagation is a method used to train neural networks by adjusting the weights of the connections between neurons based on the error between the predicted output and the actual output.

- Source: "Neural Networks and Deep Learning" by Michael Nielsen.

3. What is transfer learning in deep learning?

Transfer learning is a technique where a pre-trained model is used as a starting point for a new task, allowing for faster and more accurate training on a smaller dataset.

- Source: "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron.

3 questions about Deep Learning

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