# 需要导入模块: import tflearn [as 别名]# 或者: from tflearn importDNN[as 别名]defmain(filename, frames, batch_size, num_classes, input_length):"""From the blog post linked above."""# Get our data.X_train, _, y_train, _ = get_data(filename, frames, num_classes, input_length)...
l_hid3 = tflearn.fully_connected(l_hid2,256, activation='relu', scope='dense3')# reshape l_hid3 to lstm usable shape (1, batch_size, 256)l_hid3_reshape = tf.reshape(l_hid3, [1,-1,256])# have to custom make the lstm output here to use tf.nn.dynamic_rnnl_lstm = tflearn....
示例1 defvgg16(input,num_class):x=tflearn.conv_2d(input,64,3,activation='relu',scope='conv1_1')x=tflearn.conv_2d(x,64,3,activation='relu',scope='conv1_2')x=tflearn.max_pool_2d(x,2,strides=2,name='maxpool1')x=tflearn.conv_2d(x,128,3,activation='relu',scope='conv2_1')x...
Namespace/Package: tflearnlayersconvMethod/Function: conv_1d导入包: tflearnlayersconv每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。示例1def do_cnn_doc2vec(trainX, testX, trainY, testY): global max_features print "CNN and doc2vec" #trainX = pad_sequences(trainX, max...
在下文中一共展示了dropout函数的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: use_tflearn ▲点赞 7▼ defuse_tflearn():importtflearn# Data loading and preprocessingimporttflearn.datasets.mnistasmnist ...
在下文中一共展示了tflearn.dropout方法的13个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: create_critic_network ▲点赞 6▼ # 需要导入模块: import tflearn [as 别名]# 或者: from tflearn importdropout[as 别名...
本文搜集整理了关于python中tflearn single_unit方法/函数的使用示例。 Namespace/Package:tflearn Method/Function:single_unit 导入包:tflearn 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 deftest_dnn(self):withtf.Graph().as_default():X=[3.3,4.4,5.5,6.71,6.93,4.168,9.779...
在下文中一共展示了tflearn.embedding方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: _create_model ▲点赞 5▼ # 需要导入模块: import tflearn [as 别名]# 或者: from tflearn importembedding[as 别名]def...
開發者ID:didw,項目名稱:PyMLT,代碼行數:22,代碼來源:simulation_daily_trade_tflearn.py 示例2: resnext ▲點讚 3▼ # 需要導入模塊: import tflearn [as 別名]# 或者: from tflearn importbatch_normalization[as 別名]defresnext(width, height, frame_count, lr, output=9, model_name ='sentnet_color...
示例1: CNN_Core ▲點讚 6▼ # 需要導入模塊: import tflearn [as 別名]# 或者: from tflearn importmax_pool_2d[as 別名]defCNN_Core(x, reuse=False):withtf.variable_scope('cnn_core', reuse=reuse): network = tflearn.conv_2d( x, KERNEL,5, activation='relu', regularizer="L2", weight_de...