Я слежу за видео sentdex в Neural Networks с Keras.
Моя версия тензорного потока - 2.0.0.
Я на Windows 10 и запускаю этот код в Anaconda Окружение Jupyter.
Я пытался выполнить поиск или эта ошибка, но у меня нет результатов.
Код :
import tensorflow as tf
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
from tensorflow.keras.layers import Conv2D, MaxPooling2D
from tensorflow.keras.callbacks import Tensorboard
import pickle
import numpy as np
import os
import time
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
NAME = "CATS-VS-DOGS-CNN-{}".format(int(time.time()))
tensorboard = TensorBoard(log_dir="logs/{}".format(NAME))
pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)
pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)
X = X/255.0
model = Sequential()
model.add(Conv2D(256, (3, 3), input_shape=X.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(256, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten()) # this converts our 3D feature maps to 1D feature vectors
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer='adam',
metrics=['accuracy'])
model.fit(X, y, batch_size=8, epochs=10, validation_split=0.3, callbacks = [tensorboard])
Ошибка :
ImportError Traceback (most recent call last)
<ipython-input-2-a32bf5fe83d7> in <module>
5 from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
6 from tensorflow.keras.layers import Conv2D, MaxPooling2D
----> 7 from tensorflow.keras.callbacks import Tensorboard
8
9 import pickle
ImportError: cannot import name 'Tensorboard' from 'tensorflow.keras.callbacks' (C:\Users\anves\Anaconda3\lib\site-packages\tensorflow_core\python\keras\api\_v2\keras\callbacks\__init__.py)