Answer / Prashant Kumar Sharma

Deep Learning is a subset of Machine Learning that utilizes artificial neural networks with multiple layers to learn complex representations of data. While traditional Machine Learning algorithms require hand-engineered features, Deep Learning models can automatically extract features directly from raw data.

What is the difference between Epoch, Batch and Iteration in Deep Learning?

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What are some factors that explain the success and recent rise of deep learning?

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What will happen if the learning rate is set too low or too high?

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What are the supervised learning algorithms in deep learning?

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What do you understand by perceptron? Also, explain its type.

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What is encoder in deep learning?

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Do you think that deep network is better than a shallow one?

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What is matrix element-wise multiplication?

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What is the cost function?

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What are the disadvantages of deep learning?

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Explain the deep learning and its relation to artificial intelligence?

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What are the three steps to developing the necessary assumption structure in deep learning?

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