I want to use the various loss function defined in keras for calculating the loss value manually. For example:
from keras.losses import binary_crossentropy
error=binary_crossentropy([1,2,3,4],[6,7,8,9])
gives me error
AttributeError: 'list' object has no attribute 'dtype'.
Similar way I want to use other keras loss function. I have my y_pred and y_true lists/arrays.
You can use K.variable() to wrap the inputs and use K.eval() to get the value.
from keras.losses import binary_crossentropy
from keras import backend as K
y_true = K.variable(np.array([[1], [0], [1], [1]]))
y_pred = K.variable(np.array([[0.5], [0.6], [0.7], [0.8]]))
error = K.eval(binary_crossentropy(y_true, y_pred))
print(error)
[ 0.69314718 0.91629082 0.35667494 0.22314353]
AttributeError: 'numpy.dtype' object has no attribute 'base_dtype'. - Bhaskar Dhariyal