Continuous Mathematical Methods with an Emphasis on Machine Learning

Course Description
BRIEF INTRODUCTIONA survey of numerical approaches to the continuous mathematics used in computer vision and robotics with emphasis on machine and deep learning.

Although motivated from the standpoint of machine learning, the course will focus on the underlying mathematical methods including computational linear algebra and optimization, as well as special topics such as automatic differentiation via backward propagation, momentum methods from ordinary differential equations, CNNs, RNNs.

Topics include:

Computational linear algebra and optimization

Automatic differentiation via backward propagation

Momentum methods from ordinary differential equations

Conjugate gradient method

Ordinary and partial differential equations

Vector and tensor calculus

Convolutional neural networks

Course Tags Intelligent-Technology Artificial-intelligence Neural-networks Artificial-neural-networks AI Machine-Learning Deep-learning Convolutional-Neural-Networks Computer-Vision Continuous-Mathematics Mathematics-Courses Mathematics-tutorials Mathematics-Curriculum Linear-algebra Algebra Algebra-Tutorials Calculus Calculus-tutorials Calculus-Courses Differential-Equations Mathematical-methods Continuous-Mathematical-Methods Stanford

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Type:Intelligent-Technology Mathematics Provider:StanfordOnline University:Stanford Language:English By Teachers:unknow Time:unknow

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