chilian12321的博客

# -*- coding: utf-8 -*- from math import * import random # 机器人四个参照物 landmarks = [[20.0, 20.0], [80.0, 80.0], [20.0, 80.0], [80.0, 20.0]] # 地图大小 world_size = 100.0 class robot: def __init__(self): self.x = random.random() * world_size .

手写识别--使用keras框架，构建CNN网络完成对MNIST数据集的训练，评估及预测 #cnn网络 --mnist import tensorflow as tf import keras from keras.datasets import mnist from keras import backend as K from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten fro.

1.pyhon安装 1.1下载链接：https://www.python.org/downloads/windows/ 我先选择了python-3.7.5-amd64 注意：如果需要支持tensorflow gpu的，需要安装X64位的Windows x86-64 executable installer 1.2安装注意： 1.3安装成功 2.编辑平台pycharm安装 https://www.jetbrains.com/pycharm/download/download-thank.