📚 node [[tensor_shape|tensor shape]]
Welcome! Nobody has contributed anything to 'tensor_shape|tensor shape' yet. You can:
  • Write something in the document below!
    • There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
  • Write to the Agora from social media.
    • If you follow Agora bot on a supported platform and include the wikilink [[tensor_shape|tensor shape]] in a post, the Agora will link it here and optionally integrate your writing.
  • Sign up as a full Agora user.
    • As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[tensor_shape]]
⥅ node [[tensor_shape]] pulled by Agora

Tensor shape

Go back to the [[AI Glossary]]

#TensorFlow

The number of elements a Tensor contains in various dimensions. For example, a [5, 10] Tensor has a shape of 5 in one dimension and 10 in another.

📖 stoas
⥱ context