[英]How to understand a theano tensor as a matrix and a keras.backend variable?
If I am using Keras with theano, what is the difference between A and B in this case ? 如果我将Keras与theano一起使用,在这种情况下A和B有什么区别?
from keras import backend as K
import theano
A = theano.tensor.matrix()
B = K.zeros(shape = (d1, d2, d3, d4))
where d1-d4 are dimensions for example (1,4,14,14) 其中d1-d4是尺寸,例如(1,4,14,14)
According to the source code , keras creates this in theano: 根据源代码 ,keras在theano中创建了此代码 :
variable = theano.shared(value=np.zeros(shape),
name='somename',
strict=False)
variable._keras_shape = value.shape
variable._uses_learning_phase = False
It's often better to use keras objects. 通常最好使用keras对象。 They've got shapes and other features for keras models.
他们具有用于keras模型的形状和其他功能。
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