Introduction to AI & Tensor Data Processing Flashcards
1
Q
What is training data?
A
Input data for which we know the real outputs
2
Q
What is a tensor?
A
3
Q
Mathematical name for a one-dimensional tensor?
A
Vector
4
Q
Mathematical name for a two-dimensional tensor?
A
Matrix
5
Q
What is a square matrix?
A
A matric which has the same number of rows and columns
6
Q
Alternative way to write torch.mm( A, B ) in Python?
A
A@B
7
Q
What is the requirement for tensor concatenation?
A
The tensors must have the same shape along all dimensions except the one along which they are concatenated
8
Q
What three conditions must norms satisfy?
A
- Non-negativity
- Triangle inequality
- Homogeneity
