出现了>> untitled2_neuralnet2 函数或变量 'train_labels' 无法识别。 出错 untitled2_neuralnet2 (第 5 行) train_labels_new = train_labels + 1;。请出具修改后的全部代码
时间: 2024-03-07 14:50:24 浏览: 20
好的,请您将以下代码替换为您的代码:
```matlab
load('train_data.mat');
load('train_labels.mat');
train_labels_new = train_labels + 1;
num_classes = 10;
input_size = size(train_data, 2);
hidden_layer_size = 100;
batch_size = 100;
epochs = 5;
learning_rate = 0.1;
% Convert labels to one-hot encoding
train_labels_one_hot = full(ind2vec(train_labels_new'));
% Initialize weights
weights_input_hidden = randn(input_size, hidden_layer_size);
weights_hidden_output = randn(hidden_layer_size, num_classes);
% Training loop
for epoch = 1:epochs
for batch = 1:batch_size:size(train_data, 1)
% Forward pass
batch_data = train_data(batch:batch+batch_size-1, :);
hidden_layer_output = sigmoid(batch_data * weights_input_hidden);
output_layer = hidden_layer_output * weights_hidden_output;
output_softmax = softmax(output_layer);
% Backward pass
error = train_labels_one_hot(batch:batch+batch_size-1, :) - output_softmax;
output_delta = error .* softmax_deriv(output_softmax);
hidden_delta = output_delta * weights_hidden_output' .* sigmoid_deriv(hidden_layer_output);
% Update weights
weights_hidden_output = weights_hidden_output + (hidden_layer_output' * output_delta) * learning_rate;
weights_input_hidden = weights_input_hidden + (batch_data' * hidden_delta) * learning_rate;
end
end
% Save weights
save('weights.mat', 'weights_input_hidden', 'weights_hidden_output');
```
这里我将`train_labels`加1的操作放在了代码中,同时修改了一些变量名以匹配新的`train_labels_new`变量。