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Ybeers .NET Blog

Ybeers .NET Blog. Sunday, March 20, 2011. Speeding up sigmoid function by approximating exponential function. I will talk about sigmoid function defined by formula. Is real and k. Is positive constant. Its graph is for k. This function can be used for example as activation function in neural networks. When we use it as activation function in neural network a code evaluating it will be very stressed. So our approach should be to optimize it. For simplicity we will assume k4. 1f 1f float. We select .

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Ybeers .NET Blog

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Ybeers .NET Blog. Sunday, March 20, 2011. Speeding up sigmoid function by approximating exponential function. I will talk about sigmoid function defined by formula. Is real and k. Is positive constant. Its graph is for k. This function can be used for example as activation function in neural networks. When we use it as activation function in neural network a code evaluating it will be very stressed. So our approach should be to optimize it. For simplicity we will assume k4. 1f 1f float. We select .

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This web page ybeernet.blogspot.com states the following, "Sunday, March 20, 2011." We saw that the webpage said " Speeding up sigmoid function by approximating exponential function." It also said " I will talk about sigmoid function defined by formula. Its graph is for k. This function can be used for example as activation function in neural networks. When we use it as activation function in neural network a code evaluating it will be very stressed. So our approach should be to optimize it. For simplicity we will assume k4. 1f 1f float."

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