Un-Answered Questions { AI Deep Learning }

What is the function of the fourier transform in deep learning?

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What do you mean by "overfitting"?

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What is the softmax function?

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What do you understand by autoencoder?

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What is an rnn?

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What is relu function?

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

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What are the different layers of autoencoders? Explain briefly.

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What are the unsupervised learning algorithms in deep learning?

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What are the main benefits of mini-batch gradient descent?

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What are the applications of deep learning?

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How many layers in the neural network?

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What are the main differences between ai, machine learning, and deep learning?

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What is tanh function?

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What is matrix element-wise multiplication? Explain with an example.

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