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  • February 25, 2019Contributing

    What are tasks and applications of artificial intelligence?

    What are tasks and applications of artificial intelligence? Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of…

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  • February 25, 2019Helpful tips

    What is RGB in deep learning?

    What is RGB in deep learning? RGB is the default color space, even in Machine Learning and Deep Learning. What are deep learning approaches? Deep…

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  • February 25, 2019Blog

    What are the influence of Artificial Intelligence?

    What are the influence of Artificial Intelligence? AI has the ability to learn, reason, perceive and make decisions independently. It can replace part of human…

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  • February 25, 2019Guidelines

    How do you define a heuristic function?

    How do you define a heuristic function? A heuristic function, also simply called a heuristic, is a function that ranks alternatives in search algorithms at…

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  • February 25, 2019Guidelines

    Can regression be affected by extreme values?

    Can regression be affected by extreme values? With respect to regression, outliers are influential only if they have a big effect on the regression equation.…

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  • February 25, 2019Popular

    Which state of the LSTM does the encoder use as the encoding of the input sequence?

    Which state of the LSTM does the encoder use as the encoding of the input sequence? internal state vectors The encoder is basically LSTM/GRU cell.…

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  • February 25, 2019Blog

    Can neural network learn sine function?

    Can neural network learn sine function? As we see, the concept of “You can represent any function with sinusoidal functions” works also for neural networks.…

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  • February 25, 2019Guidelines

    Which is the derivative of the cost function?

    Which is the derivative of the cost function? The Derivative of Cost Function: Since the hypothesis function for logistic regression is sigmoid in nature hence,…

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  • February 25, 2019Helpful tips

    How can neural networks help with nonlinear problems?

    How can neural networks help with nonlinear problems? To see how neural networks might help with nonlinear problems, let’s start by representing a linear model…

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  • February 25, 2019Miscellaneous

    Do you know how to derive all the backpropagation derivatives?

    Do you know how to derive all the backpropagation derivatives? And you know that Backprop looks like this: But do you know how to derive…

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