EAN: 9780692196380

LINEAR ALGEBRA AND LEARNING FROM DATA - GILBERT...

Linear algebra and the foundations of deep learning  together at last! From Professor Gilbert
Strang  acclaimed author of Introduction to Linear Algebra  comes Linear Algebra and Learning
from Data  the first textbook that teaches linear algebra together with deep learning and
neural nets. This readable yet rigorous textbook contains a complete course in the linear
algebra and related mathematics that students need to know to get to grips with learning from
data. Included are: the four fundamental subspaces  singular value decompositions  special
matrices  large matrix computation techniques  compressed sensing  probability and statistics 
optimization  the architecture of neural nets  stochastic gradient descent and backpropagation.

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