Question

此问题出现在我的jupyter笔记本上。

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import utils
import os
%matplotlib inline

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D

#from keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Dense, Input, Dropout,Flatten
from tensorflow.keras.layers import BatchNormalization, Activation, MaxPooling2D
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import ModelCheckpoint, ReduceLROnPlateau
from tensorflow.keras.utils import plot_model
from tensorflow.keras.models import Sequential

from IPython.display import SVG, Image
from livelossplot import PlotLossesTensorFlowKeras
import tensorflow as tf
print("Tensorflow version:", tf.__version__)

我尝试了pip install livelossplot，但没有用。感谢您的帮助

Answer 1

我也遇到了同样的问题，那么我所做的就是用下面的代码替换它：

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import utils
import os
%matplotlib inline

from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Dense, Input, Dropout,Flatten, Conv2D
from tensorflow.keras.layers import BatchNormalization, Activation, MaxPooling2D
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import ModelCheckpoint, ReduceLROnPlateau
from tensorflow.keras.utils import plot_model

from IPython.display import SVG, Image
#from livelossplot import PlotLossesTensorFlowKeras
from livelossplot import PlotLossesKeras
from livelossplot.keras import PlotLossesCallback
import tensorflow as tf
print("Tensorflow version:", tf.__version__)

您现在可以继续进行下去。

Answer 2

我认为我们在Coursera中遵循了相同的教程。

问题是版本不匹配

pip uninstall livelossplot

pip install livelossplot==0.5.2

然后使用此

from livelossplot import PlotLossesKeras

代替旧的。

即使我已安装所有依赖项，也无法在jupyter笔记本中导入名称“ PlotLossesTensorFlowKeras”

2 个答案: