我正在尝试训练keggle猫和狗的图像数据集。我需要看张量板输出。但它有一个错误

import numpy as np
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,activation,flatten,Conv2D,MaxPooling2D
from tensorflow.keras.callbacks import TensorBoard
import pickle
import time
import datetime

tensorboard = TensorBoard(log_dir=f".\\logs\\MODEL\\",histogram_freq=1,write_grads=True)

X = pickle.load(open("X.pickle","rb"))
y = np.asarray(pickle.load(open("y.pickle","rb")))

X = X/255.0

model = Sequential()
model.add(Conv2D(64,(3,3),input_shape = X.shape[1:]))
model.add(activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(64,3)))
model.add(activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(flatten())
model.add(Dense(64))

model.add(Dense(1))
model.add(activation('sigmoid'))

model.compile(loss="sparse_categorical_crossentropy",optimizer="adam",metrics=['accuracy'])
model.fit(X,y,batch_size=32,epochs=3,validation_split=0.3,callbacks=[tensorboard])

这是错误消息

<ipython-input-52-2af34454ac99> in <module>
     33 
     34 model.compile(loss="sparse_categorical_crossentropy",metrics=['accuracy'])
---> 35 model.fit(X,callbacks=[tensorboard])
     36 
     37 

InvalidArgumentError: Failed to create a NewWriteableFile: .\logs\MODEL\train/events.out.tfevents.1573665973.????.5560.13886.v2 : The filename,directory name,or volume label syntax is incorrect.
; Unknown error
    Creating writable file .\logs\MODEL\train/events.out.tfevents.1573665973.????.5560.13886.v2
    Could not initialize events writer. [Op:CreateSummaryFileWriter]

我正在使用tesorflow版本2 jupyter笔记本