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  • February 20, 2019Contributing

    How is parameter estimation done in Simulink MathWorks?

    How is parameter estimation done in Simulink MathWorks? Parameter Estimation. Estimate parameters and states of a Simulink ® model using measured data in the Parameter…

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  • February 20, 2019Contributing

    Where is weights in neural network keras?

    Where is weights in neural network keras? How to get the weights of Keras model? layer. get_weights(): returns the weights of the layer as a…

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  • February 20, 2019Blog

    What are Embeddings for images?

    What are Embeddings for images? An embedding model is a way to reduce the dimensionality of input data, such as images. Consider this to be…

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  • February 20, 2019Blog

    Which loss function should be used for binary classification?

    Which loss function should be used for binary classification? Binary Cross Entropy In this article, we will specifically focus on Binary Cross Entropy also known…

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  • February 20, 2019Contributing

    How do you find the area under a curve in probability?

    How do you find the area under a curve in probability? The area above the x -axis and under the curve must equal one, with…

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  • February 20, 2019Popular

    What will be the number of neurons in the input layer?

    What will be the number of neurons in the input layer? Every network has a single input layer and a single output layer. The number…

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  • February 20, 2019Popular

    What is cross entropy in decision tree?

    What is cross entropy in decision tree? Cross entropy can be understood as a relaxation of 0-1 loss in a way that represents the same…

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  • February 20, 2019Guidelines

    What hardware do you need for deep learning?

    What hardware do you need for deep learning? GPU: RTX 2070 or RTX 2080 Ti. GTX 1070, GTX 1080, GTX 1070 Ti, and GTX 1080…

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  • February 20, 2019Popular

    How to make a categorised list of keywords?

    How to make a categorised list of keywords? Here’s what a categorised list will look like: And here’s the formula we use to make it…

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  • February 20, 2019Miscellaneous

    How can train error be reduced?

    How can train error be reduced? A modern approach to reducing generalization error is to use a larger model that may be required to use…

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