zz_hh_uu_的博客

batch_size=4, max_time=5, and labels_length=[5,4,3,2].import tensorflow as tflabels = tf.Variable([[4, 3, 1, 2, 5], [2, 3, 4, 1, 0], [1, 2, 3, 0, 0], [5, 4, 0, 0, 0]], tf.int32)with tf..

tf.keras.backend.image_data_format()

错误记录2020-05-14 10:11:00.935025: E tensorflow/stream_executor/cuda/cuda_dnn.cc:385] could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR2020-05-14 10:11:00.935050: E tensorflow/stream_executor/cuda/cuda_dnn.cc:352] could not destroy cudnn handle: CU

TensorFlow数据读取方法文件准备$ echo -e "Alpha1,A1\nAlpha2,A2\nAlpha3,A3" > A.csv$ echo -e "Bee1,B1\nBee2,B2\nBee3,B3" > B.csv$ echo -e "Sea1,C1\nSea2,C2\nSea3,C3" > C.csv$ cat A.csvAlpha1,A1A...

TensorFlow的Queue# -*-coding:utf-8 -*-import tensorflow as tfimport tensorflow as tfimport numpy as npdef generate_data(): num = 25 label = np.asarray(range(0, num)) images = np.rand...

tf.train.ExponentialMovingAverage使用举例import tensorflow as tf; import numpy as np; import matplotlib.pyplot as plt; v1 = tf.Variable(0, dtype=tf.float32) step = tf.Variable(tf.constant(0)) ...

tensorflow ctc示例#-*-coding:utf8-*-'''tensorflow1.4'''import tensorflow as tfimport numpy as npimport pdbimport randomdef create_sparse(batch_size, dtype=np.int32): ''' 创建稀疏张量,ctc_los...

UCF-101 3d卷积输入样例create_tfrecord_dataset.py#!/usr/bin/python# -*- coding: utf-8 -*-import cv2;import numpy as np;from numpy.random import uniform;from random import shuffle;import os;import...

tensorflow连接时序分类图片main.py#-*-coding:utf-8-*-from keras.layers import TimeDistributed, Activation, Dense, Input, Bidirectional, LSTM, Masking, GaussianNoisefrom keras.optimizers import Adamfrom CT...

keras分别设置cpu和gpu训练,经过几番测试,控制效果明显import tensorflow as tffrom keras import backend as Knum_cores = 8GPU = FalseCPU = Trueif GPU: num_GPU = 1 num_CPU = 1if CPU: num_CPU = 1 num_...

分布式测试平台搭建环境:内网两台服务器地址10.0.1.110和10.0.1.111,显卡为nvidia,容量12G.其中地址10.0.1.110的服务器上文件为 t1.py,c1.py,地址10.0.1.111的服务器上文件为c2.py各个文件内容地址10.0.1.110服务器上的文件t1.py如下:import tensorflow as tfimport numpy as n...

mnist基本程序import warningswarnings.filterwarnings('ignore')import tensorflow as tfconfig = tf.ConfigProto()config.gpu_options.allow_growth = Truesess = tf.Session(config=config)from tensorflow....