matlab - 在 MATLAB 中训练简单神经网络时出现错误

Question

我在 MATLAB 中构建了简单的神经网络，如下代码所示，输入和输出数据的维度为 128x1，我将输入数据划分为 21x1 进行验证和 107 用于训练:

clear all; clc; clear;  

bits = randi([0 1], 1 , 128);                 %Original generated data 
data_temp = bi2de(reshape(bits,128/2,2));   
data_mod = (1/sqrt(2))*qammod(data_temp , 4);  

inputs = [real(data_mod); imag(data_mod)];      %the input data of input layer (128 x 1); 
outputs = bits.';                               %output data from output layer (128 x 1); 

inputs_len = 128;                    %length of input data 
outputs_len = 128;                   %length of output data 

IN_V1 = inputs(end-20:end);                     %Test validation input vector
OUT_V1 = outputs(end-20:end);                   %Test Validation output Vector 

Train_seq_in = inputs(22 : end);               %Training inpur Data
Train_seq_out = outputs(22:end);               %Training output Data 

%build Neural network
options1 = trainingOptions('adam','MaxEpochs',2000,'InitialLearnRate',0.001,'MiniBatchSize',10,'Shuffle','every','L2Regularization',0,'Plots','training-progress','ValidationData',{IN_V1,OUT_V1})
layers =[sequenceInputLayer(107) fullyConnectedLayer(1024) reluLayer() fullyConnectedLayer(outputs_len) regressionLayer];

%train network 
 Net1 = trainNetwork(Train_seq_in,Train_seq_out,layers,options1);                  %Training the Network real

当我运行上面的代码时，出现错误:

Error using trainNetwork (line 165)
The validation sequences are of feature dimension 21 but the input layer expects sequences of feature
dimension 107.

Error in quetion (line 24)
 Net1 = trainNetwork(Train_seq_in,Train_seq_out,layers,options1);                  %Training the Network
 real

但是我认为这是不合逻辑的，因为验证数据应该小于测试数据!!

我尝试将验证数据更改为与输入数据相同，如下所示:

%build Neural network
options1 = trainingOptions('adam','MaxEpochs',2000,'InitialLearnRate',0.001,'MiniBatchSize',10,'Shuffle','every','L2Regularization',0,'Plots','training-progress','ValidationData',{IN_V1,OUT_V1})
layers =[sequenceInputLayer(21) fullyConnectedLayer(1024) reluLayer() fullyConnectedLayer(outputs_len) regressionLayer];

%train network 
 Net1 = trainNetwork(IN_V1,IN_V1,layers,options1);                  %Training the Network real

但在这种情况下，我会收到另一个奇怪的错误，如下所示:

Error using trainNetwork (line 165)
To RESHAPE the number of elements must not change.

Error in quetion (line 24)
 Net1 = trainNetwork(IN_V1,IN_V1,layers,options1);                  %Training the Network real

Caused by:
    Error using reshape
    To RESHAPE the number of elements must not change.

请问有人可以帮我解决这个问题吗？

谢谢

Answer 1

对于第二个错误: 使用 trainNetwork 时出错(第 165 行) 要 RESHAPE，元素数量不得更改。

Error in quetion (line 24)
 Net1 = trainNetwork(IN_V1,IN_V1,layers,options1);                  %Training the Network real

Caused by:
    Error using reshape
    To RESHAPE the number of elements must not change. 

当您修改输入层的大小时，您还应该修改输出层的大小，因此您应该替换此行:

layers =[sequenceInputLayer(21) fullyConnectedLayer(1024) reluLayer() fullyConnectedLayer(outputs_len) regressionLayer];

通过这一行:

layers =[sequenceInputLayer(21) fullyConnectedLayer(1024) reluLayer() fullyConnectedLayer(21) regressionLayer];