分类:编程语言
fit_generator是keras提供的用来进行批次训练的函数,使用方法如下:model.fit_generator(generator,steps_per_epoch=None,epochs=1,verbose=1,callbacks=None,validation_data=None,validation_steps=None,class_weight=None,max_queue_size=10,workers=1,use_multiprocessing=False,shuffle=True,initial_epoch=0)参数说明:generator:一个生成器,或者一个Sequence(keras.utils.Sequence)对象的实...
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在《python深度学习》这本书中。一、21页mnist十分类导入数据集fromkeras.datasetsimportmnist(train_images,train_labels),(test_images,test_labels)=mnist.load_data()初始数据维度:>>>train_images.shape(60000,28,28)>>>len(train_labels)60000>>>train_labelsarray([5,0,4,...,5,6,8],dtype=uint8)数据预处理:train_images=train_images.reshape((60000,28*28))train_images=train_images.asty...
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