May 1, 2024
4 minute read
Tensors are a fundamental concept in many areas of mathematics and computer science. They are used to represent multidimensional data, and they can be used to perform a variety of operations on that data. Tensors are particularly important in the field of machine learning, where they are used to represent the input and output of neural networks.
What are Tensors?
A tensor is a mathematical object that represents a multidimensional array of data. Tensors can be of any rank, meaning that they can have any number of dimensions. The rank of a tensor is equal to the number of indices required to specify a single element of the tensor.
v1u83x|
Find a path to becoming a Tensors. Learn more at:
OpenCourser.com/topic/v1u83x/tensor
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Tensors.
Provides a comprehensive introduction to tensor analysis on manifolds, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor analysis, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor calculus, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor analysis and nonlinear elasticity, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensors for physics, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in physics.
Provides a comprehensive introduction to tensor analysis, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor analysis, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor analysis, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor calculus and applications, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensors and differential forms, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor calculus, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
Provides a comprehensive introduction to tensor analysis on manifolds, covering both the theoretical foundations and practical applications. It is suitable for advanced undergraduate and graduate students in mathematics and physics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/v1u83x/tensor
Save
