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Basic Pytorch Tensor Manipulation for Machine Learning
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This course teaches you how to create, manipulate, and understand tensors for machine learning using PyTorch.

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Table of Contents

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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

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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Basic Pytorch Tensor Manipulation for Machine Learning Save for later

Basic Pytorch Tensor Manipulation for Machine Learning
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