上一页 1 ··· 4 5 6 7 8 9 10 11 12 ··· 29 下一页
摘要: 阅读全文
posted @ 2020-10-07 16:42 山…隹 阅读(151) 评论(0) 推荐(0)
摘要: patience = 2 意思是最多容忍后两次的数据精度比此次差 validation_splt = 0.2 意思是train数据80%,val数据20% 阅读全文
posted @ 2020-10-07 16:33 山…隹 阅读(1143) 评论(0) 推荐(0)
摘要: 阅读全文
posted @ 2020-10-07 16:05 山…隹 阅读(164) 评论(0) 推荐(0)
摘要: 当层数>1时的网络结构为: 代码示例: 阅读全文
posted @ 2020-10-04 23:01 山…隹 阅读(235) 评论(0) 推荐(0)
摘要: import tensorflow as tf import matplotlib .pyplot as plt from PIL import Image import numpy as np import os from myResNet import resnet35 # 设置相关底层配置 p 阅读全文
posted @ 2020-10-03 09:51 山…隹 阅读(546) 评论(0) 推荐(0)
摘要: import tensorflow as tf # 设置相关底层配置 physical_devices = tf.config.experimental.list_physical_devices('GPU') assert len(physical_devices) > 0, "Not enoug 阅读全文
posted @ 2020-10-01 19:51 山…隹 阅读(907) 评论(0) 推荐(0)
摘要: import tensorflow as tf class BasicBlock(tf.keras.layers.Layer): def __init__(self, filter_num, stride=1): super(BasicBlock, self).__init__() self.con 阅读全文
posted @ 2020-10-01 18:57 山…隹 阅读(476) 评论(0) 推荐(0)
摘要: 利用残差迭代训练的网络,可以支持深层,通过训练,自动简化网络结构 每个个小块的代码解析: 堆叠每个小块: 阅读全文
posted @ 2020-09-30 13:25 山…隹 阅读(328) 评论(0) 推荐(0)
摘要: import tensorflow as tf # 设置相关底层配置 physical_devices = tf.config.experimental.list_physical_devices('GPU') assert len(physical_devices) > 0, "Not enoug 阅读全文
posted @ 2020-09-25 22:33 山…隹 阅读(623) 评论(0) 推荐(0)
摘要: # 设置相关底层配置 physical_devices = tf.config.experimental.list_physical_devices('GPU') assert len(physical_devices) > 0, "Not enough GPU hardware devices a 阅读全文
posted @ 2020-09-25 17:07 山…隹 阅读(682) 评论(0) 推荐(0)
上一页 1 ··· 4 5 6 7 8 9 10 11 12 ··· 29 下一页