!mkdir'/content/gdrive/MyDrive/conversation''''将文本句子分解成单词，并构建词库'''path='/content/gdrive/MyDrive/conversation/'withopen(path+'question.txt','r')asfopen:text_ques...

!pipinstallutils!pipinstallsklearn!mkdir'/content/gdrive/MyDrive/moviereview'!mkdir'/content/gdrive/MyDrive/moviereview/good/'!mkdir'/content/gdrive/MyDrive/mov...

fromgoogle.colabimportdrivedrive.mount('/content/gdrive')!mkdir'/content/gdrive/MyDrive/dataset'path='/content/gdrive/MyDrive/dataset/text8'withopen(path)asft_:...

importtensorflowastfimportnumpyasnp'''初始化运算图，它包含了上节提到的各个运算单元，它将为W,x,b，h构造运算部件，并将它们连接起来'''graph=tf.Graph()#一次tensorflow代码的运行都要初始化一个sessionsession=tf.InteractiveS...

!pipinstallgym  importrandomimportnumpyasnpimportmatplotlib.pyplotaspltfromkeras.layersimportDense,Dropout,Activationfromkeras.modelsimportSequentialf...

fromkeras.layersimportLeakyReLUfromkeras.layersimportBatchNormalizationfromkeras.optimizersimportRMSpropimportmathdefbuild_generator(inputs,image_size):'''生成者网络...

'''加载cifar10图片集并准备将图片进行灰度化'''fromkeras.datasetsimportcifar10defrgb2gray(rgb):#把彩色图转化为灰度图，如果当前像素点为[r,g,b],那么对应的灰度点为0.299*r+0.587*g+0.114*breturnnp.dot(rgb[...,:3...

#为图像像素点增加高斯噪音noise=np.random.normal(loc=0.5,scale=0.5,size=x_train.shape)x_train_noisy=x_train+noisenoise=np.random.normal(loc=0.5,scale=0.5,size=x_test.shape)x...

fromkeras.layersimportDense,Inputfromkeras.layersimportConv2D,Flattenfromkeras.layersimportReshape,Conv2DTransposefromkeras.modelsimportModelfromkeras.datasetsi...

fromkeras.layersimportmodel=Sequential()model.add(embedding_layer)#使用一维卷积网络切割输入数据，参数5表示每各个单词作为切割小段model.add(layers.Conv1D(32,5,activation='relu'))#参数3表示，上层传下来的数...

fromkeras.layersimportLSTMmodel=Sequential()model.add(embedding_layer)model.add(LSTM(32))#当结果是输出多个分类的概率时，用softmax激活函数,它将为30个分类提供不同的可能性概率值model.add(layers.Dense(...

fromkeras.layersimportSimpleRNNmodel=Sequential()model.add(embedding_layer)model.add(SimpleRNN(32))#当结果是输出多个分类的概率时，用softmax激活函数,它将为30个分类提供不同的可能性概率值model.add(lay...

importpandasaspddf=pd.read_json('/Users/chenyi/Documents/News_Category_Dataset.json',lines=True)df.head()df.category=df.category.map(lambdax:"WORLDPOST"ifx=="TH...

importmatplotlib.pyplotaspltimportnumpyasnpimportmatplotlib.mlabasmlabimportmathmu=0variance=1sigma=math.sqrt(variance)x=np.linspace(mu-3*sigma,mu+3*sigma,100)p...

importnumpyasnpsamples=['Thecatjumpoverthedog','Thedogatemyhomework']#我们先将每个单词放置到一个哈希表中token_index={}forsampleinsamples:#将一个句子分解成多个单词forwordinsample.split():ifw...