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Basic Pytorch Tensor Manipulation for Machine Learning

This course teaches you how to create, manipulate, and understand tensors for machine learning using PyTorch.

Beginner

12 Lessons

Certificate of Completion

This course teaches you how to create, manipulate, and understand tensors for machine learning using PyTorch.

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Course Overview

Course Content

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Course Overview

Tensors form the fundamental building block of the PyTorch ecosystem. Various components, such as network layers, loss function, gradient descent, and optimizer rely on underlying tensor operations. In this course, you will get a comprehensive overview of tensors starting with how to create one. You will learn the many different types of tensors as well as how to concatenate and manipulate them by selecting elements, changing the shape, and more. By the end of this course, you will have a basic understand...Show More

Tensors form the fundamental building block of the PyTorch ecosystem. Various components, such as network layers, loss function,...Show More

Course Content

Selecting Elements from a Tensor

Changing the Shape of a Tensor

Concatenating tensors

Element-wise Mathematical Operations on Tensors

Reduction and Comparison

Matrix Vector Multiplication

Saving and loading tensors

Quiz

Course Author

Neko Yan

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