HomeCoursesBasic Pytorch Tensor Manipulation for Machine Learning

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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.

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Overview

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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 understanding of how to work with PyTorch tensors and what they allow you to do.

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

Content

12 Lessons1 Quiz

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

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Course Author:

Neko Yan

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"Tensor manipulation is crucial in Deep Learning (DL), and this course teaches efficient techniques for handling tensors."

Kyaw Pyiyt Htet

Cyber Threat Intelligence Analyst @ Help AG

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