MathematicsLesson 47Free preview

Linear Algebra

This lesson is part of A.I. · All levels

Summary

Linear algebra studies vectors and matrices that are the main language of machine learning. Training data, layer weight, to predictive results are all represented as matrix. Operations like matrix addition and multiplication are the basic routine behind any deep learning model.

Key points

The data and the model weight are represented as vectors and matrices.
The matrix addition is done element by element.
The multiplication of the matrix follows the rule of dimensions (m×n) × (n×p) = (m×p).
NumPy provides an efficient matrix operation for Python.

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