[英]Multilayer perceptron with target variable as array instead of a single value
我是深度学习的新手,我一直在尝试使用theano库来训练我的数据。 这里的MLP教程有一个标量输出值,而我的用例有一个数组,其中1对应于输出中描述的值。
例如(假设可能的标量值为0,1,2,3,4,5),
0 = [1,0,0,0,0,0]
1 = [0,1,0,0,0,0]
2 = [0,0,1,0,0,0]
我只修改了代码来读取我的输入和输出(现在输出是theano的用法中的二维数组或矩阵)。 代码的其他部分与上面粘贴的MLP教程相同。
我得到的错误在以下函数中
test_model = theano.function(inputs=[index],
outputs=classifier.errors(y),
givens={
x: test_set_x[index * batch_size:(index + 1) * batch_size],
y: test_set_y[index * batch_size:(index + 1) * batch_size]}) //line 286
错误堆栈:
Traceback (most recent call last):
File "mlp.py", line 398, in <module>
test_mlp()
File "mlp.py", line 286, in test_mlp
y: test_set_y[index * batch_size:(index + 1) * batch_size]})
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 223, in function
profile=profile)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 490, in pfunc
no_default_updates=no_default_updates)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 241, in rebuild_collect_shared
cloned_v = clone_v_get_shared_updates(outputs, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
clone_a(v.owner, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 131, in clone_a
clone_v_get_shared_updates(i, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
clone_a(v.owner, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 131, in clone_a
clone_v_get_shared_updates(i, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
clone_a(v.owner, copy_inputs_over)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 135, in clone_a
strict=rebuild_strict)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/graph.py", line 213, in clone_with_new_inputs
new_inputs[i] = curr.type.filter_variable(new)
File "/usr/local/lib/python2.7/dist-packages/theano/tensor/type.py", line 205, in filter_variable
self=self)<br><br>
TypeError: Cannot convert Type TensorType(int64, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(int32, vector). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(int32, vector).
我想知道如何更改此theano.function以适应y值作为矩阵。
您需要将y
定义为T.imatrix()
而不是T.lvector()
。
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