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Basic PyTorch Tensor Manipulation

Basic PyTorch Tensor Manipulation

PyTorch tensor is crucial for the PyTorch, it's basic for the whole PyTorch ecosystem. Because all kinds of network layers, loss, gradient, and optimizer are built on the tensor operations. The purpose of this course is to help you be familiar with this concept and hands-on operations.

What is PyTorch? 

PyTorch is a popular, open source, optimized tensor library widely used in deep learning and AI Research, developed by researchers at Facebook AI. The torch package contains data structures for multi-dimensional tensors and mathematical operations over these are defined.

In this blog post, we seek to cover some useful functions that the torch package provides for manipulating tensors. Specifically, we'll take the help of examples to understand how the different functions work, including cases where the functions do not perform as expected and throw errors. We shall look at the following tensor manipulation functions.

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