4) Deep learning Flashcards
(8 cards)
1
Q
What is deep learning
A
A methodology that allows us to combine simple hypotheses to construct more complex hypothesis spaces
2
Q
What is an activation function in artificial neural networks, and how is it applied to vectors
A
3
Q
What are some examples of activation functions
A
4
Q
How is a single-layer perceptron defined
A
5
Q
How is a multilayer perceptron (MLP) defined
A
6
Q
How are the layers in a multilayer perceptron (MLP) interpreted
A
7
Q
How is the hypothesis space Mφ defined for a two-layer, arbitrarily wide neural network, and what are its steps
A
8
Q
What does the universal approximation result state for neural networks with activation function φ
A
