I am using keras to generate the images of dogs using GAN for a kaggle competitions. I am using google colab. But i am encountering an error.
ERROR
RecursionError: maximum recursion depth exceeded
CODE
Here is the function:
def load_data():
(x_train, y_train), (x_test, y_test) = load_data()
x_train = (x_train.astype(np.float32) - 127.5)/127.5
x_train = x_train.reshape(60000, 784)
return (x_train, y_train, x_test, y_test)
(X_train, y_train,X_test, y_test)=load_data()
print(X_train.shape)
Hope anyone can help.
The function is doing infinite recursion, its called load_data()
and it calls load_data()
without any recursion limit, hence infinite recursion.
You probably want to call load_data()
in a module, like cifar10
or mnist
, and for that you have to specifically refer to that module, for example, keras.datasets.mnist.load_data()
.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.