Row 6198
Content Data
This page contains data entry 6198 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
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?
| Field | Value |
|---|---|
| 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 |
| username_encoded | Z0FBQUFBQm5LakwyNFAzaE1BNmpMSzVnQlAyN0VXRVJjRzNkNk5OdmREaDlzalZjakJfYVVPdXpjYjF6NldCOVlfN3NWNkNyUEEwMDlFYW9fVXJsMUVSaXdaS29JdWVsOVE9PQ== |
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Raw Record
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"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",
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}
Entry Information
- Entry ID: 6198
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000