zeronose的博客

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.optimizers import SGD#载入数据(x_train,y_train),(x_test,y_test) = mnist.load_data()#(60000,28

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.layers.recurrent import SimpleRNN#常用的RNN有这三个，根据需求导入SimpleRNN,LSTM,GRUfrom keras.optimizers i

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Dense,Dropout,Convolution2D,MaxPooling2D,Flattenfrom keras.optimizers import Adam#载入数据(x_train,y_train),(x

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.optimizers import SGDfrom keras.regularizers import l2# 载入数据(x_train,y_train),(x_test,y_t

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Dense,Dropoutfrom keras.optimizers import SGD# 载入数据(x_train,y_train),(x_test,y_test) = mnist.load_data()#

import numpy as npfrom keras.datasets import mnistfrom keras.utils import np_utilsfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.optimizers import SGD# 载入数据(x_train,y_train),(x_test,y_test) = mnist.load_data()#(60000,2

#coding:utf-8import kerasimport numpy as npimport matplotlib.pyplot as plt#Sequential按顺序构成的模型from keras.models import Sequential#Dense全连接层from keras.layers import Densefrom keras.layers import Activationfrom keras.optimizers import SGD# 使用numpy生