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!pip install gym import random import numpy as np import matplotlib.pyplot as plt from keras.layers import Dense, Dropout, Activation from keras.model 阅读全文
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from keras.layers import LeakyReLU from keras.layers import BatchNormalization from keras.optimizers import RMSprop import math def build_generator(in 阅读全文
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from keras.layers import Dense, Input from keras.layers import Conv2D, Flatten from keras.layers import Reshape, Conv2DTranspose from keras.models imp 阅读全文
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from keras.layers import LSTM model = Sequential() model.add(embedding_layer) model.add(LSTM(32)) #当结果是输出多个分类的概率时,用softmax激活函数,它将为30个分类提供不同的可能性概率值 mod 阅读全文
摘要:
import matplotlib.pyplot as plt import numpy as np import matplotlib.mlab as mlab import math mu = 0 variance = 1 sigma = math.sqrt(variance) x = np.l 阅读全文