Row 6198

Row ID: 6198 | Dataset Entry | Axioma AXP Content Repository

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I am just getting into making my own ML functions from scratch and I am having trouble understanding what exactly a tensor is. My current understanding is that it is a multidimensional matrix that is a representation of the data you want to process, but I am confused on how exactly that works.

If I have a dataset of images, is each image its own tensor? Each section of an image? Does the whole image set become one tensor? And then with text, if I am training on one large text file, is each paragraph turned into a tensor?

Any level of explanation would be appreciated. I think I am just struggling to understand how data is structured and processed with these functions. Also, are tensors created right at the start of any ml algorithm?

FieldValue
text I am just getting into making my own ML functions from scratch and I am having trouble understanding what exactly a tensor is. My current understanding is that it is a multidimensional matrix that is a representation of the data you want to process, but I am confused on how exactly that works. If I have a dataset of images, is each image its own tensor? Each section of an image? Does the whole image set become one tensor? And then with text, if I am training on one large text file, is each par…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-08
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Raw Record

{
  "text": "I am just getting into making my own ML functions from scratch and I am having trouble understanding what exactly a tensor is. My current understanding is that it is a multidimensional matrix that is a representation of the data you want to process, but I am confused on how exactly that works. \n\nIf I have a dataset of images, is each image its own tensor? Each section of an image? Does the whole image set become one tensor? And then with text, if I am training on one large text file, is each paragraph turned into a tensor?\n\nAny level of explanation would be appreciated. I think I am just struggling to understand how data is structured and processed with these functions. Also, are tensors created right at the start of any ml algorithm?",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-08",
  "username_encoded": "Z0FBQUFBQm5LakwyNFAzaE1BNmpMSzVnQlAyN0VXRVJjRzNkNk5OdmREaDlzalZjakJfYVVPdXpjYjF6NldCOVlfN3NWNkNyUEEwMDlFYW9fVXJsMUVSaXdaS29JdWVsOVE9PQ==",
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}

Entry Information