-
1
说明： 自定义卷积核，用numpy完成图像卷积运算，生成对应特征图(Customizing convolution kernel, using numpy to complete image convolution operation, generate corresponding feature map)
- 2020-04-17 23:12:08下载
- 积分：1
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批量嵌入COHESIVE单元_-_副本
说明： 可以批量嵌入cohesiveelements，0厚度单元，abaqus使用(Embeddable cohesiveelements in batches, 0 thickness unit for abaqus use)
- 2020-06-22 01:20:02下载
- 积分：1
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Python机器学习
第1章 赋予计算机学习数据的能力
1.1 构建智能机器将数据转化为知识
1.2 机器学习的三种不同方法
1.2.1 通过监督学习对未来事件进行预测
1.2.2 通过强化学习解决交互式问题
1.2.3 通过无监督学习发现数据本身潜在的结构
1.2.4 基本术语及符号介绍
1.3 构建机器学习系统的蓝图(Chapter 1 Enables Computers to Learn Data
1.1 Building Intelligent Machines to Transform Data into Knowledge
1.2 Three Different Methods of Machine Learning
1.2.1 Prediction of future events through supervised learning
1.2.2 Solving Interactive Problems through Reinforcement Learning
1.2.3 Discovering the Potential Structure of Data by Unsupervised Learning
1.2.4 Introduction of Basic Terminology and Symbols
1.3 Blueprint for Building Machine Learning System)
- 2019-06-06 16:10:09下载
- 积分：1
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syscomp
比较软件界面操作和数据表变化的小工具，快速定位表逻辑(tool which compare interface operation with table change)
- 2014-05-08 21:00:14下载
- 积分：1
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grc_block
关于gnuradio中各个信号处理模块的简单介绍，我自己整理的。(Brief introduction about of gnuradio each signal processing module, myself.)
- 2021-03-15 17:09:23下载
- 积分：1
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python 井字棋 游戏源码
井字棋
- 2021-05-06下载
- 积分：1
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struct
说明： 简单数据结构python实现，包括线性表、链表、哈希表、二叉树等(Python implementation of simple data structure, including linear list, linked list, hash table, binary tree, etc.)
- 2019-05-11 21:40:20下载
- 积分：1
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外星人代码
说明： 适合新手的小游戏,空格射击，方向键左右移动射击屏幕上方的外星人(Suitable for beginners of small games, space shooting, around the direction key mobile shooting screen above the alien)
- 2020-06-21 20:40:02下载
- 积分：1
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login126
python实现126邮箱自动登录源码，需要一些类库支持才能运行，请先下载相关类库.(python achieve 126 mailboxes automatically log source, need some support in order to run the library, please download library.)
- 2014-05-25 23:03:28下载
- 积分：1
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Pytorch implementation of Generative Adversarial Networks
# pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) [1] and Deep Convolutional Generative Adversarial Networks (DCGAN) [2] for MNIST [3] and CelebA [4] datasets.
* If you want to train using cropped CelebA dataset, you have to change isCrop = False to isCrop = True.
* you can download
- MNIST dataset: http://yann.lecun.com/exdb/mnist/
- CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
* pytorch_CelebA_DCGAN.py requires 64 x 64 size image, so you have to resize CelebA dataset (celebA_data_preprocess.py).
* pytorch_CelebA_DCGAN.py added learning rate decay code.
## Implementation details
* GAN
* DCGAN
## Resutls
### MNIST
- 2022-03-21 10:01:59下载
- 积分：1
