weixin_43723467的博客

AutoEncoder实战import osimport tensorflow as tfimport numpy as npfrom tensorflow import kerasfrom tensorflow.keras import Sequential, layersfrom PIL import Imagefrom matplotlib im...

数据集宝可梦数据集步骤load data 加载数据images and labels X = [1.png, 2.png,…] Y = [4, 9, …]tf.data.Dataset.from_tensor_slices((X,Y)).shuffle().map(preprocess).batch()数据增强与标准化build model 建立模型定义网络结构定义前...

RNN原理回顾# 简单RNN原理回顾h[t] = fw(h[t-1], x[t]) #fw is some function with parameters Wh[t] = tanh(W[h,h]*h[t-1] + W[x,h]*x[t]) #to be specificy[t] = W[h,y]*h[t]RNN实战情感分类import osimport tensorflow...

基本卷积操作import tensorflow as tffrom tensorflow.keras import layers# 4代表卷积核个数，也就是输出维度；5代表卷积核大小；strides=2则size减半# padding=valid代表不padding，padding=same代表padding成size不变layer = layers.Conv2D(4,kernel_si...

import osimport tensorflow as tffrom tensorflow.keras import datasets, layers, optimizers, Sequential, metricsfrom tensorflow import kerasdef preprocess(x, y): # [0~255] => [-1~1] ...

数据加载from tensorflow.keras import datasets# x : [60000, 28, 28]# y : [60000](x, y), (x_val, y_val) = datasets.mnist.load_data() x = tf.convert_to_tensor(x, dtype=tf.float32) / 255.y = tf.convert_...

数据类型int，float，double，bool，string# tensor 类型tf.constant(1) # 创建一个tensor, int型tf.constant(1.0) # 创建一个tensor, float型tf.constant(1.0,dtype=tf.double) # 创建一个tensor, double型# tensor 属性with ...