dtype=None, scope=None)returnresultsdefget_loss(logits,targets,weights): loss=tf.contrib.seq2seq.sequence_loss( logits, targets=targets, weights=weights )returnloss results=seq2seq(encoder_inputs,decoder_inputs,cell,num_encoder_symbols,num_decoder_symbols,embedding_size) logits=tf.stack(results,a...
#tf.contrib.seq2seq.sequence_loss example:seqence loss 实例代码#!/usr/bin/env python# -*- coding: utf-8 -*-importtensorflowastfimportnumpyasnpparams=np.random.normal(loc=0.0,scale=1.0,size=[10,10])encoder_inputs=tf.placeholder(dtype=tf.int32,shape=[10,10])decoder_inputs=tf.placeholder...
def get_loss(logits,targets,weights): loss=tf.contrib.seq2seq.sequence_loss( logits, targets=targets, weights=weights ) return loss results=seq2seq(encoder_inputs,decoder_inputs,cell,num_encoder_symbols,num_decoder_symbols,embedding_size) logits=tf.stack(results,axis=0) print(logits) loss=get...
定久损失loss,tf.contrib.legacy_seq2seq.sequence_loss_by_example计算输出logits和targets偏差。sequence_loss,target words average negative log probability,定义loss=1/N add i=1toN ln Ptargeti。tf.reduce_sum汇总batch误差,计算平均样本误差cost。保留最终状态final_state。不是训练状态直接返回。 定义学习速率...
定久损失loss,tf.contrib.legacy_seq2seq.sequence_loss_by_example计算输出logits和targets偏差。sequence_loss,target words average negative log probability,定义loss=1/N add i=1toN ln Ptargeti。tf.reduce_sum汇总batch误差,计算平均样本误差cost。保留最终状态final_state。不是训练状态直接返回。
losses = tf.contrib.legacy_seq2seq.sequence_loss_by_example( [tf.reshape(self.pred, [-1], name='reshape_pred')], [tf.reshape(self.ys, [-1], name='reshape_target')], [tf.ones([self.batch_size * self.n_steps], dtype=tf.float32)], ...
loss = tf.contrib.legacy_seq2seq.sequence_loss_by_example( [logits], # 预测的结果 [tf.reshape(self.targets, [-1])], # 期望正确的结果,这里将[batch_size, num_steps]压缩为一维张量 [tf.ones([batch_size * num_steps], dtype=tf.float32)]) # 损失的权重,所有为1表明不同批量和时刻的重...
注:由于tensorflow版本的不同,这个函数所在的模块可能不同,如:tf.nn.seq2seq.sequence_loss_by_example和tf.contrib.legacy_seq2seq.sequence_loss_by_example 在正式进入sequence_loss_by_example()函数的计算过程之前,需要先复习下两个基本的知识点,softmax的计算和交叉熵的计算。... 查看原文 TensorFlow中seq2...
6、解决问题AttributeError: module 'tensorflow.python.ops.nn' has no attribute '_seq2seq' 将tf.nn.seq2seq.sequence_loss_by_example 改为tf.contrib.legacy_seq2seq.sequence_loss_by_example 7、将tf.nn.rnn_cell.改为tf.contrib.rnn 8、解决问题:AttributeError: module 'tensorflow' has no attribut...
6、解决问题AttributeError: module 'tensorflow.python.ops.nn' has no attribute '_seq2seq' 将tf.nn.seq2seq.sequence_loss_by_example 改为tf.contrib.legacy_seq2seq.sequence_loss_by_example 7、将tf.nn.rnn_cell.改为 tf.contrib.rnn 8、解决问题:AttributeError: module 'tensorflow' has no attrib...