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Ybeer's .NET Blog

Ybeer's .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 k=4. 1f / (1f ( float. We select ...

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Ybeer's .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 k=4. 1f / (1f ( float. We select ...

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Ybeer's .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 k=4. 1f / (1f ( float. We select ...

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Ybeer's .NET Blog: SSE Instructions

http://ybeernet.blogspot.com/2011/03/sse-instructions.html

Ybeer's .NET Blog. Wednesday, March 16, 2011. SSE acronym stands for Streaming SIMD Extensions, where SIMD is "Single Instruction, Multiple Data". It means we can use only one processor instruction to perform the same operation on multiple data. In SSE case we've got instruction set for processing four single precision float numbers at the same time. Is nice list of all instructions for most of SSE versions. Wow, that's great but what about .Net? We've got two arrays a. Float tmp = a[i] - b[i];. In C# ve...

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Ybeer's .NET Blog: Mar 16, 2011

http://ybeernet.blogspot.com/2011_03_16_archive.html

Ybeer's .NET Blog. Wednesday, March 16, 2011. SSE acronym stands for Streaming SIMD Extensions, where SIMD is "Single Instruction, Multiple Data". It means we can use only one processor instruction to perform the same operation on multiple data. In SSE case we've got instruction set for processing four single precision float numbers at the same time. Is nice list of all instructions for most of SSE versions. Wow, that's great but what about .Net? We've got two arrays a. Float tmp = a[i] - b[i];. In C# ve...

3

Ybeer's .NET Blog: Mar 17, 2011

http://ybeernet.blogspot.com/2011_03_17_archive.html

Ybeer's .NET Blog. Thursday, March 17, 2011. Techniques of calling unmanaged code from .NET and their speed. Default technology for calling unmanaged code (for example C code) from .NET is Platform Invoke. It is available from every managed language which supports method attributes through DllImportAttribute. Usage of this attribute is shown below in C#:. Is very good article about using PInvoke. Tmp = a - b; *result = a * tmp b * tmp; } #pragma. Result) { unmanagedFunction(a, b, result); } }; }. The las...

4

Ybeer's .NET Blog: Speeding up sigmoid function by approximating exponential function

http://ybeernet.blogspot.com/2011/03/speeding-up-sigmoid-function-by.html

Ybeer's .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 k=4. 1f / (1f ( float. We select ...

5

Ybeer's .NET Blog: Techniques of calling unmanaged code from .NET and their speed

http://ybeernet.blogspot.com/2011/03/techniques-of-calling-unmanaged-code.html

Ybeer's .NET Blog. Thursday, March 17, 2011. Techniques of calling unmanaged code from .NET and their speed. Default technology for calling unmanaged code (for example C code) from .NET is Platform Invoke. It is available from every managed language which supports method attributes through DllImportAttribute. Usage of this attribute is shown below in C#:. Is very good article about using PInvoke. Tmp = a - b; *result = a * tmp b * tmp; } #pragma. Result) { unmanagedFunction(a, b, result); } }; }. The las...

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Ybeer's .NET Blog

Ybeer's .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 k=4. 1f / (1f ( float. We select ...

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