08 2020 档案

VGGNet实现cifar10数据集分类
摘要：import tensorflow as tf import os from matplotlib import pyplot as plt import tensorflow.keras.datasets from tensorflow.keras import Model import nump 阅读全文
posted @ 2020-08-31 22:17 爬到牢底坐穿 阅读(1248) 评论(0) 推荐(0)
AlexNet实现cifar10数据集分类
摘要：import tensorflow as tf import os from matplotlib import pyplot as plt import tensorflow.keras.datasets from tensorflow.keras import Model import nump 阅读全文
posted @ 2020-08-31 21:33 爬到牢底坐穿 阅读(1793) 评论(0) 推荐(0)
LeNet网络实现cifar10数据集分类
摘要：import tensorflow as tf import numpy as np import os from matplotlib import pyplot as plt from tensorflow.keras.layers import Dense,Flatten,Activation 阅读全文
posted @ 2020-08-30 22:28 爬到牢底坐穿 阅读(687) 评论(0) 推荐(0)
卷积网络实现cifar数据集分类
摘要：import tensorflow as tf import os import numpy as np from matplotlib import pyplot as plt from tensorflow.keras.layers import Conv2D,BatchNormalizatio 阅读全文
posted @ 2020-08-24 22:23 爬到牢底坐穿 阅读(230) 评论(0) 推荐(0)
神经网络实现fashion数据集
摘要：import tensorflow as tf import numpy as np fashion=tf.keras.datasets.fashion_mnist (x_train,y_train),(x_test,y_test)=fashion.load_data() model=tf.kera 阅读全文
posted @ 2020-08-12 16:09 爬到牢底坐穿 阅读(297) 评论(0) 推荐(0)
神经网络实现手写识别
摘要：import tensorflow as tfmnist=tf.keras.datasets.mnistimport numpy as npfrom tensorflow.examples.tutorials.mnist import input_datamnist = input_data.rea 阅读全文
posted @ 2020-08-11 21:21 爬到牢底坐穿 阅读(178) 评论(0) 推荐(0)
kereas 实现鸢尾花分类
摘要：import tensorflow as tf from sklearn import datasets import numpy as np x_train=datasets.load_iris().data y_train=datasets.load_iris().target np.rando 阅读全文
posted @ 2020-08-10 21:23 爬到牢底坐穿 阅读(264) 评论(0) 推荐(0)
你的第一个神经网络—神经网络实现鸢尾花分类
摘要：from sklearn import datasets import numpy as np import tensorflow as tf import pandas as pd from pandas import DataFrame from sklearn.datasets import 阅读全文
posted @ 2020-08-08 16:11 爬到牢底坐穿 阅读(1332) 评论(0) 推荐(0)