qq_34619572的博客

****感谢万门vgg网络要求输入不低于224像素。大小不一需要resize（）from keras.layers import Input,Conv2D, MaxPool2D, Flatten, Dropout, Densefrom keras.utils import to_categoricalfrom keras.optimizers import Adamfrom keras.losses import categorical_crossentropyimport matpl..

手写数字识别流程：导入TF库及子库datasets.mnist.load_data() # 加载数据集转换为张量,缩放到-1~1 x = 2*tf.convert_to_tensor(x, dtype=tf.float32)/255.-1y = tf.convert_to_tensor(y, dtype=tf.int32) # y转换为张量y = tf.one_hot(y, depth=10) # one-hot 编码构建数据集train_dataset = train_d

import tensorflow as tffrom tensorflow import kerasfrom tensorflow.keras import layers,lossesimport pandas as pd

Tensorflow——tf.layers.densedense：全连接层相当于添加一个层，即初学的add_layer()函数tf.layers.dense( inputs, units, activation=None, use_bias=True, kernel_initializer=None, bias_initializer=tf.zeros_initializer(), kernel_regularizer=None, bi