问题描述
我正在关注this code tutorial-如何使用训练有素的模型-Python,TensorFlow和Keras的深度学习基础知识。
下面是我正在使用的代码:
@H_404_4@import tensorflow as tf
import numpy as np
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,Activation,Flatten,Conv2D,MaxPooling2D
import pickle
X = pickle.load(open("X.pickle","rb"))
y = 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="binary_crossentropy",optimizer="Adam",metrics=["accuracy"])
model.fit(X,y,batch_size=32,validation_split=0.1)
我遇到了以下错误:
@H_404_4@FileNotFoundError Traceback (most recent call last)
<ipython-input-15-8560275e4263> in <module>
6
7 X = pickle.load(open("X.pickle","rb"))
----> 8 y = pickle.load(open("y.pickle","rb"))
9
10 X = X/255.0
FileNotFoundError: [Errno 2] No such file or directory: 'y.pickle'
解决方法
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