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摘要: https://www.docin.com/p-175866968.html 《售电市场变化特点的动态偏离份额分析法》 https://www.doc88.com/p-681951233999.html 《https://baike.sogou.com/v63784076.htm?fromTitle 阅读全文
posted @ 2021-09-28 08:47 kuanleung 阅读(108) 评论(0) 推荐(0)
摘要: import tensorflow as tf @tf.function #启用图必须开启 def my_func(x, y): # A simple hand-rolled layer. return tf.multiply(x, y) # Set up logging. logdir = r"C 阅读全文
posted @ 2021-08-31 22:40 kuanleung 阅读(22) 评论(0) 推荐(0)
摘要: https://www.bilibili.com/video/BV1Lx411j7ws?p=9点击进入 阅读全文
posted @ 2021-08-28 21:12 kuanleung 阅读(11) 评论(0) 推荐(0)
摘要: Dependencies: tensorflow: 1.1.0 matplotlib numpy """ import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import numpy a 阅读全文
posted @ 2021-08-27 16:05 kuanleung 阅读(20) 评论(0) 推荐(0)
摘要: ncies: tensorflow: 1.1.0 matplotlib numpy """ import tensorflow as tf import numpy as np import matplotlib.pyplot as plt tf.set_random_seed(1) np.rand 阅读全文
posted @ 2021-08-27 16:05 kuanleung 阅读(20) 评论(0) 推荐(0)
摘要: """ Know more, visit my Python tutorial page: https://morvanzhou.github.io/tutorials/ My Youtube Channel: https://www.youtube.com/user/MorvanZhou More 阅读全文
posted @ 2021-08-26 18:55 kuanleung 阅读(20) 评论(0) 推荐(0)
摘要: Dependencies: tensorflow: 1.1.0 numpy """ import tensorflow as tf import numpy as np tf.set_random_seed(1) np.random.seed(1) # fake data x = np.linspa 阅读全文
posted @ 2021-08-26 18:53 kuanleung 阅读(29) 评论(0) 推荐(0)
摘要: Dependencies: tensorflow: 1.1.0 matplotlib numpy """ import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) 阅读全文
posted @ 2021-08-26 18:51 kuanleung 阅读(12) 评论(0) 推荐(0)
摘要: Dependencies: tensorflow: 1.1.0 matplotlib numpy """ import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) 阅读全文
posted @ 2021-08-26 18:50 kuanleung 阅读(11) 评论(0) 推荐(0)
摘要: Dependencies: tensorflow: 1.1.0 matplotlib numpy """ import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) 阅读全文
posted @ 2021-08-26 18:49 kuanleung 阅读(16) 评论(0) 推荐(0)
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