Dimension

Related lectures (31)

Page 3 of 4

Explores Tori in algebraic geometry, emphasizing character forms and monomials.

Explores threshold functions in neural networks for classifying data points based on positive and negative values.

Introduces tangent spaces to submanifolds and their properties in optimization on manifolds.

Covers vector spaces, dimension, generators, and free families in relation to being tied or free.

Explores the Nonlinear Integrate-and-Fire Model, reduction to one dimension, stimulus impact, and sparse activity in vivo.

Explores creating text and annotations in AutoCAD, including managing properties and working with layers.

Explores finite dimensional spaces, covering extraction process, bases generation, and space completion.

Delves into the challenges of deep learning, exploring dimensionality, performance, and overfitting phenomena in neural networks.

Explores fundamental cosmological puzzles related to dark matter and energy.