摘要:
# 1. 数据预处理。 import keras from keras.models import Model from keras.datasets import mnist from keras.layers import Input, Dense from tflearn.layers.core import fully_connected num_classes = 10 img_ro... 阅读全文
摘要:
# 1. 数据预处理。 import keras from keras.models import Model from keras.datasets import mnist from keras.layers import Input, Dense from tflearn.layers.core import fully_connected num_classes = 10 img_ro... 阅读全文
摘要:
# 1. 数据预处理 import keras from keras import backend as K from keras.datasets import mnist from keras.models import Sequential from keras.layers import Dense, Flatten, Conv2D, MaxPooling2D num_classes = 阅读全文