随笔分类 - keras系列
摘要:测试 (1, 150, 150, 3) print(label[model.predict_classes(image)] ['cat'] (1, 150, 150, 3) print(label[model.predict_classes(image)] ['cat'] (1, 150, 150,
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摘要:import numpy as np from keras.datasets import mnist from keras.utils import np_utils from keras.models import Sequential from keras.layers import Dens
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摘要:1 import numpy as np 2 from keras.datasets import mnist 3 from keras.utils import np_utils 4 from keras.models import Sequential 5 from keras.layers import Dense 6 from keras.optimizers import SGD 7 f
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摘要:import numpy as np from keras.datasets import mnist from keras.utils import np_utils from keras.models import Sequential from keras.layers import Dens
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摘要:import numpy as np from keras.datasets import mnist from keras.utils import np_utils from keras.models import Sequential from keras.layers import Dens
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摘要:1 import numpy as np 2 from keras.datasets import mnist 3 from keras.utils import np_utils 4 from keras.models import Sequential 5 from keras.layers i
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摘要:1 import numpy as np 2 from keras.datasets import mnist 3 from keras.utils import np_utils 4 from keras.models import Sequential 5 from keras.layers import Dense 6 from keras.optimizers import SGD 7 f
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摘要:1 import numpy as np 2 from keras.datasets import mnist 3 from keras.utils import np_utils 4 from keras.models import Sequential 5 from keras.layers i
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摘要:1 import numpy as np 2 from keras.datasets import mnist 3 from keras.utils import np_utils 4 from keras.models import Sequential 5 from keras.layers i
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摘要:import numpy as np from keras.datasets import mnist from keras.utils import np_utils from keras.models import Sequential from keras.layers import Dens
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摘要:import keras import numpy as np import matplotlib.pyplot as plt # Sequential按顺序构成的模型 from keras.models import Sequential # Dense全连接层 from keras.layers import Dense,Activation from keras.optimizers imp
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