基于LSTM递归神经网络的番茄目标产量时间序列预测.pdf

自己写的一个很有用的Kmeans演示Demo，使用MATLAB写的，有各种酷炫功能，值得大家下载来玩一玩。

输入标注txt文件与预测txt文件路径，计算P、R、TP、FP与FN。txt格式为class、归一化后的矩形框中点x y w h，可调整IOU阈值

In fine art, especially painting, humans havemastered the skill to create unique visual experiences through composing a complex interplay between the con- tent and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. How- ever, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to sepa- rate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the strik- ing similarities between performance-optimised artificial neural networks and biological vision,our work offers a path forward to an algorithmic under- standing of how humans create and perceive artistic imagery.

机器学习与python应用入门

Pymc3概率编程教程

抽烟检测yolov4-tiny-pytorch源码，里面有大量抽烟数据集训练成的抽烟模型，识别抽烟准确度高达百分之98，速度超过20帧每秒，下载即可运行

安全帽检测yolov4-tiny-pytorch源码，里面有大量安全帽数据集训练成的抽烟模型，识别安全帽准确度高达百分之98，速度超过20帧每秒，下载即可运行

抽烟检测yolov5-pytorch源码，里面有大量抽烟数据集训练成的抽烟模型，识别抽烟准确度高达百分之98，速度超过20帧每秒，下载即可运行

C#环境开发的深度学习，进行模板特征的识别匹配，包括所有的源代码，结合halcon写的深度网络学习的源代码。