Answer / Dayashankar Sharma

A computational graph is a visual representation of the operations (or nodes) and dependencies between them in a machine learning model. Each node represents an operation such as matrix multiplication, addition, or activation function, and edges represent data dependencies between those operations. Computational graphs provide a flexible and modular way to define and optimize complex deep learning models.

Please explain what is deep learning, and how does it contrast with other machine learning algorithms?

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Please explain what is deep learning?

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Tell me how does deep learning contrast with other machine learning algorithms?

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Explain the different layers of cnn.

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Explain a Computational Graph.

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Difference between machine learning and deep learning?

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What do you understand by autoencoder?

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Explain what is deep learning, and how does it contrast with other machine learning algorithms?

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