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8 : Find the Solving vector
The Puzzle 8 is a variant of 15 ( Fifteen ). Fifteen is a slider puzzle, also a matlab function, with the goal being to create t...

대략 1년 전

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8 : Find the Solving vector
The Puzzle 8 is a variant of 15 ( Fifteen ). Fifteen is a slider puzzle, also a matlab function, with the goal being to create t...

대략 1년 전 | 0 | 솔버 수: 4

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Neural Net: Convolutional NN Back Propagation WP/WH/K LED Digit images; Variant Images Scored
This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU ...

대략 1년 전

문제


Neural Net: Convolutional NN Back Propagation WP/WH/K LED Digit images; Variant Images Scored
This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU ...

대략 1년 전 | 0 | 솔버 수: 3

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Neural Net: Back Propagation of Quad Output with Bias, ReLU
This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using ReLU on the hidden layer and Softmax on the ou...

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Neural Net: Convolutional NN wK Evolve Matrices Determination for LED Digit images; Variant Images Scored
This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU ...

대략 1년 전

문제


Neural Net: Convolutional NN wK Evolve Matrices Determination for LED Digit images; Variant Images Scored
This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU ...

대략 1년 전 | 0 | 솔버 수: 3

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Find the 2023 Russian Lunar Lander (LUNA-25)
Locate the LUNA-25, 2023 Russian Lander, by comparing Pre and Post-Landing Lunar images. Give the [row,col] of the approximate...

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Find the 2023 Russian Lunar Lander (LUNA-25)
Locate the LUNA-25, 2023 Russian Lander, by comparing Pre and Post-Landing Lunar images. Give the [row,col] of the approximate...

대략 1년 전 | 1 | 솔버 수: 5

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Neural Net: Convolutional NN Matrices Determination for LED Digit images; Variant Images Scored
This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidde...

대략 1년 전

문제


Neural Net: Convolutional NN Matrices Determination for LED Digit images; Variant Images Scored
This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidde...

대략 1년 전 | 0 | 솔버 수: 3

답변 있음
How do I print a "%" when using fprintf?
Usage of char or '%' is possible. fprintf('Percent Error: %0.8f %s', percentError,char(37)); or fprintf('Percent Error: %0.8f...

대략 1년 전 | 0

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Neural Net: Convolutional NN Matrices Determination for LED Digit images
This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidde...

대략 1년 전

문제


Neural Net: Convolutional NN Matrices Determination for LED Digit images
This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidde...

대략 1년 전 | 0 | 솔버 수: 3

문제


Neural Net: Back Propagation of Quad Output with Bias, ReLU
This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using ReLU on the hidden layer and Softmax on the ou...

대략 1년 전 | 0 | 솔버 수: 5

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Neural Net: Back Propagation of Dual Output with Bias
This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using Sigmoid on the hidden layer and Softmax on the...

대략 1년 전

문제


Neural Net: Back Propagation of Dual Output with Bias
This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using Sigmoid on the hidden layer and Softmax on the...

대략 1년 전 | 0 | 솔버 수: 4

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Neural Net: Calculate Bias Quad Output Perceptron (Counter, Mux, Subtraction)
This challenge is to calculate the Neural Net Bias Quad Output Perceptron vector, PY, and Pclass, given X, WH, and WP using ReL...

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문제


Neural Net: Calculate Bias Quad Output Perceptron (Counter, Mux, Subtraction)
This challenge is to calculate the Neural Net Bias Quad Output Perceptron vector, PY, and Pclass, given X, WH, and WP using ReL...

대략 1년 전 | 0 | 솔버 수: 4

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Neural Net: Calculate Bias Dual Output Perceptron (AND/NAND/OR/NOR/XOR/XNOR)
This challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoi...

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문제


Neural Net: Calculate Bias Dual Output Perceptron (AND/NAND/OR/NOR/XOR/XNOR)
This challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoi...

대략 1년 전 | 0 | 솔버 수: 4

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Neural Net: Calculate Bias Single Perceptron (AND/NAND/OR/NOR/XOR)
This challenge is to calculate the Neural Net Bias Perceptron vector,P, given X, WH, and WP using ReLU on the hidden layer. Test...

1년 초과 전

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Neural Net: Calculate Bias Single Perceptron (AND/NAND/OR/NOR/XOR)
This challenge is to calculate the Neural Net Bias Perceptron vector,P, given X, WH, and WP using ReLU on the hidden layer. Test...

1년 초과 전 | 0 | 솔버 수: 5

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Neural Net: Calculate Perceptron
This challenge is to calculate the Neural Net Perceptron value,P, given X, WH, and WP using ReLU on the hidden layer. This examp...

1년 초과 전

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Neural Net: Calculate Perceptron
This challenge is to calculate the Neural Net Perceptron value,P, given X, WH, and WP using ReLU on the hidden layer. This examp...

1년 초과 전 | 0 | 솔버 수: 8

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Neural Net: Best Index of Prediction array
The final ouput of a neural net application is a Prediction matrix/vector,P, that gives the probability of the input being of a ...

1년 초과 전

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Neural Net: Best Index of Prediction array
The final ouput of a neural net application is a Prediction matrix/vector,P, that gives the probability of the input being of a ...

1년 초과 전 | 0 | 솔버 수: 10

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Neural Nets: Activation functions
Return values of selected Activation function type for value,vector, and matrices. y=Activation(x,id); where id is 1:4 for ReLU...

1년 초과 전

문제


Neural Nets: Activation functions
Return values of selected Activation function type for value,vector, and matrices. y=Activation(x,id); where id is 1:4 for ReLU...

1년 초과 전 | 0 | 솔버 수: 10

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Neural Net Image Convolution: Return only Valid portion of conv2
This challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel ...

1년 초과 전

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