from__future__importabsolute_import, division, print_function, unicode_literals#安装 TensorFlowimporttensorflow as tf mnist=tf.keras.datasets.mnist (x_train, y_train), (x_test, y_test)=mnist.load_data() x_train, x_test= x_train / 255.0, x_test / 255.0model=tf.keras.models.Sequential(...
编辑1:pip install –upgrade tensorflow 说:Requirement already up-to-date: tensorflow in d:\anaconda3\envs\tf2\lib\site-packages (2.1.0) 但tf 版本仍然是 2.0. 编辑2:conda install tensorflow==2.2.0 说: PackagesNotFoundError: The following packagesarenotavailablefromcurrentchannels: 张量流==2.2....
#!/usr/bin/env python3# -*- coding=utf-8 -*-importtorchimporttorch.nnasnnimporttorch.nn.functionalasFimporttorch.optimasoptimfromtorchvisionimportdatasets, transformsfromtorch.optim.lr_schedulerimportStepLRclassNet(nn.Module):def__init__(self):super(Net, self).__init__() self.fc1 = nn.Li...
代码如下:(参考《深度学习:基于Keras的Python实践》) from keras.datasets import mnist import numpy as np from keras.models import Sequential from keras.layers import Dense from keras.layers import Dropout from keras.layers import Flatten from keras.layers.convolutionalimport Conv2D from keras.layers.conv...
Conda旨在通过为不同项目创建独立的、独立的Python环境来防止此类冲突。在终端应用程序中运行以下命令：...
准备尝试升级TensorFlow 1.14 到2.2，需要同时升级本地和服务器的环境，本文记录主要过程。 环境需求 当前TensorFlow最高版本 2.2.+ ，需要CUDA 10.1，cudnn 7.6 官网下载 ：https://developer.nvidia.com/ 显卡驱动需要满足CUDA版本要求 CUDA与显卡驱动：https://docs.nvidia.com/cuda/cuda-toolkit-...
或者,如何在 conda 环境中安装 2.2.x? 编辑1:pip install –upgrade tensorflow 说:Requirement already up-to-date: tensorflow in d:\anaconda3\envs\tf2\lib\site-packages (2.1.0) 但tf 版本仍然是 2.0. 编辑2:conda install tensorflow==2.2.0 说: ...