{"id":1413,"date":"2021-12-31T16:47:43","date_gmt":"2021-12-31T16:47:43","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/12\/31\/one-dimensional-tensors-in-pytorch\/"},"modified":"2021-12-31T16:47:43","modified_gmt":"2021-12-31T16:47:43","slug":"one-dimensional-tensors-in-pytorch","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/12\/31\/one-dimensional-tensors-in-pytorch\/","title":{"rendered":"One-Dimensional Tensors in Pytorch"},"content":{"rendered":"
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PyTorch is an open-source deep learning framework based on Python language. It allows you to build, train, and deploy deep learning models, offering a lot of versatility and efficiency.<\/p>\n

PyTorch is primarily focused on tensor operations while a tensor can be a number, matrix, or a multi-dimensional array.<\/p>\n

In this tutorial, we will perform some basic operations on one-dimensional tensors as they are complex mathematical objects and an essential part of the PyTorch library. Therefore, before going into the detail and more advanced concepts, one should know the basics.<\/p>\n

After going through this tutorial, you will:<\/p>\n