Data representation deep learning

  • How do you represent data in neural networks?

    All machine learning systems use Tensors (multidimensional arrays) as their primary data structure.
    Data are stored in the form of tensors.
    For neural networks, data are represented mainly in the following formats; Vectors (.

    1. D tensors): An array of numbers is called vectors or
    2. D tensors
    3. .May 10, 2022

  • What kind of data is used for deep learning?

    Deep learning requires a large dataset (e.g., images or text) to learn from.
    The more diverse and representative the data, the better the model will learn to recognize objects or make predictions..

A tensor can be a generic structure that can be used for storing, representing, and changing data. Tensors are the fundamental data structure used by all machine and deep learning algorithms.

How does deep learning work?

The representations can be learned on a large data set necessary for deep learning

It takes a bunch of text and computes the statistics and generates the representations for the words found in the text and the output encodes the meaning of the word and looks at the nearest neighbors in the space


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