摘要:细讲: https://mp.weixin.qq.com/s/RLxWevVWHXgX-UcoxDS70w https://www.jianshu.com/p/b1030350aadb 详解Transformer (Attention Is All You Need) https://zhuanla
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摘要:https://www.jianshu.com/p/10930c371cac https://www.semanticscholar.org/paper/Playing-Atari-with-Deep-Reinforcement-Learning-Mnih-Kavukcuoglu/2319a4913
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摘要:https://www.zhihu.com/question/23765351
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摘要:https://zhuanlan.zhihu.com/p/58883095 https://zhuanlan.zhihu.com/p/35709485 【学习过程】 交叉熵损失函数经常用于分类问题中,特别是在神经网络做分类问题时,也经常使用交叉熵作为损失函数,此外,由于交叉熵涉及到计算每个类别的概率
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摘要:tf.reduce_sum: 1 #coding=utf8 2 import tensorflow as tf 3 import numpy as np 4 5 tf.compat.v1.disable_eager_execution() 6 7 x = np.array([[[1, 2, 3],
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摘要:https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0
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摘要:https://blog.csdn.net/huahuazhu/article/details/77161668 1 #encoding=utf-8 2 3 import tensorflow as tf 4 5 encode_embeddings = tf.constant([[1,2,3,4,5
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摘要:https://tensorflow.juejin.im/install/install_mac.html 查看tensorflow版本 sudo pip show tensorflow sudo pip3 show tensorflow 卸载: sudo pip uninstall protobu
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