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  • November 6, 2020Popular

    What is forward pass in deep learning?

    What is forward pass in deep learning? Forward propagation (or forward pass) refers to the calculation and storage of intermediate variables (including outputs) for a…

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  • November 6, 2020Popular

    Are neural networks probabilistic models?

    Are neural networks probabilistic models? One important practical consequence of these advances is the possibility to include deep neural networks within probabilistic models, thereby capturing…

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  • November 6, 2020Popular

    How do you verify document verification?

    How do you verify document verification? How does document verification work? Cross-document data consistency such as full name, document number, date of birth, etc. Signs…

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  • November 6, 2020Guidelines

    Can a ConvNet be trained on a small dataset?

    Can a ConvNet be trained on a small dataset? Because convnets learn local, translation-invariant features, they’re highly data efficient on perceptual problems. Training a convnet…

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  • November 6, 2020Contributing

    Is there a Python program for change point detection?

    Is there a Python program for change point detection? R has an excellent package for change point detection, called changepoint. This package allows users to…

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  • November 6, 2020Miscellaneous

    Why is softmax used in CNN?

    Why is softmax used in CNN? That is, Softmax assigns decimal probabilities to each class in a multi-class problem. Those decimal probabilities must add up…

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  • November 6, 2020Miscellaneous

    What does it mean to do data processing?

    What does it mean to do data processing? Collection, manipulation, and processing collected data for the required use is known as data processing. It is…

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  • November 6, 2020Contributing

    What should my train test split be?

    What should my train test split be? Split your data into training and testing (80/20 is indeed a good starting point) Split the training data…

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  • November 6, 2020Miscellaneous

    What is minority and majority class?

    What is minority and majority class? Majority Class: The class (or classes) in an imbalanced classification predictive modeling problem that has many examples. Minority Class:…

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  • November 6, 2020Helpful tips

    How do you handle categorical values in ML?

    How do you handle categorical values in ML? The next work is to handle categorical data in datasets before applying any ML models….Hence, This method…

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