DL_WITH_PY系统学习(第2章)
本节提示: 1、第一个dl例子; 2、tensor和tensor操作; 3、DL如何通过逆向传播和梯度下降达到学习目的。 2.1 输入数据集的格式 from keras.datasets import mnist (train_images,train_labels),(test_images,test_labels) = mnist.load_data() print( 'train_image_shape',train_images.shape) print( 'train_labels_len', len(train_labels)) print( 'train_labels',train_labels) train_image_shape (60000, 28, 28) train_labels_len 60000 train_labels [5 0 4 ... 5 6 8] 2.2训练网络结构 network = models.Sequential() network.add(layers.Dense( 512, activation = 'relu', input_sh...