02 2021 档案
摘要:训练神经网络4 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_hot
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摘要:训练神经网络3 问题解决: 上面定义与下面调用的参数不一致,导致出现了错误 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.
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摘要:训练神经网络2 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_hot
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摘要:训练神经网络1 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_hot
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摘要:神经网络模型架构1 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_h
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摘要:逻辑回归框架2 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_hot
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摘要:这一讲的内容大多都了解,但是在机器学习和深度学习的不同确实是我不太了解的 卷积神经网络:
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