luoganttcc

摘要： """ This script demonstrates the use of a convolutional LSTM network.This network is used to predict the next frame of an artific... 阅读全文

posted @ 2018-10-30 11:58 luoganttcc 阅读(2405) 评论(2) 推荐(0)

摘要： git链接阅读全文

posted @ 2018-10-30 11:43 luoganttcc 阅读(102) 评论(0) 推荐(0)

摘要：文章链接如下链接阅读全文

posted @ 2018-10-30 11:41 luoganttcc 阅读(177) 评论(0) 推荐(0)

摘要： import numpy as np, scipy.ndimage, matplotlib.pyplot as pltfrom scipy import statsfrom keras.models import Sequentialfrom keras.l... 阅读全文

posted @ 2018-10-30 11:37 luoganttcc 阅读(564) 评论(0) 推荐(0)

摘要： model = Sequential()# define CNN modelmodel.add(TimeDistributed(Conv2D(...))model.add(TimeDistributed(MaxPooling2D(...)))model.a... 阅读全文

posted @ 2018-10-29 15:39 luoganttcc 阅读(131) 评论(0) 推荐(0)

摘要： # univariate cnn-lstm examplefrom numpy import arrayfrom keras.models import Sequentialfrom keras.layers import LSTMfrom keras.la... 阅读全文

posted @ 2018-10-29 15:36 luoganttcc 阅读(149) 评论(0) 推荐(0)

摘要： import kerasfrom keras.models import Sequentialfrom keras.layers import Denseimport numpy as npfrom sklearn.model_selection impor... 阅读全文

posted @ 2018-10-29 11:32 luoganttcc 阅读(117) 评论(0) 推荐(0)

posted @ 2018-10-28 17:37 luoganttcc 阅读(593) 评论(0) 推荐(0)

摘要： #listL = [x * x for x in range(10)]#generraterg = (x * x for x in range(10))gOut[4]: at 0x7f3d143048e0>LOut[5]: [0, 1, 4, 9, 16,... 阅读全文

posted @ 2018-10-28 11:26 luoganttcc 阅读(130) 评论(0) 推荐(0)

摘要： import numpy as npimport tensorflow as tfa=np.reshape(range(24),(4,2,3))sess=tf.InteractiveSession()b= tf.split(a,1,0)c=sess.run(... 阅读全文

posted @ 2018-10-26 19:18 luoganttcc 阅读(102) 评论(0) 推荐(0)