#include<iostream>#include<vector>#include<cmath>classSimpleNN{public:SimpleNN(){// 初始化模型参数fc1_weight={/* 参数初始化 */};fc1_bias={/* 偏置初始化 */};fc2_weight={/* 参数初始化 */};fc2_bias={/* 偏置初始化 */};}doubleforward(std::vector<double>x){// 第一层全连接std::v...
import tensorflow as tfimport matplotlib.pyplot as plt # 读取图片path = r'C:\Users\yh\Pictures\rm.png'# 替换为实际图片的路径image_raw = tf.io.read_file(path)image = tf.image.decode_image(image_raw, channels=3)# 指定通道数为3 #...
自今年七月份以来,一直在实验室负责卷积神经网络(Convolutional Neural Network,CNN),期间配置和使用过theano和cuda-convnet、cuda-convnet2。为了增进CNN的理解和使用,特写此博文,以其与人交流,互有增益。正文之前,先说几点自己对于CNN的感触。先明确一点就是,Deep Learning是全部深度学习算法的总称,CNN是深度学习算法...
机器学习(5)——神经网络(Neural Network,NN) - 知乎 (zhihu.com) 机器学习(6)——激活函数 - 知乎 (zhihu.com) 1. 神经元模型 受生物神经所启发,人们发明了人工神经网络。 1.1 生物神经元 我们先概括一下生物神经元的结构: 生物神经元 大脑中充满了神经元。神经元有分叉很多的树突与一支较长的轴突,轴突...
Deep Learning(三)Convolution Neural Network(CNN) 本来是想根据Notes那篇文章来写的,只是最后发现如果给subsampling层加上sigmoid之后整个结构就不收敛了~~~,我用numeric_grad_check检测发现梯度计算也是对的,不明所以~~~这份代码我也上传了(old),不过下面的代码最后就只能改成稍简化版的,貌似通常情况下CNN的poolin...
A neural network is defined as a parallel processing network system that mimics the information processing capabilities of the human brain. It consists of interconnected neurons and can process numerical data, knowledge, thinking, learning, and memory. ...
程序员阿德 一文读懂CRNN+CTC文字识别 你再好好想想 文本识别算法CRNN 论文在 An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition,提出了大名鼎鼎的CRNN。做的项目很多借鉴自CRNN,… Michael打开...
when the simplest neural network's architecture was presented. After the initial work in the area, the idea of neural networks became rather popular. But then the area had a crash, when it was discovered that neural networks of those times are very limited in terms of the amount of tasks ...
图神经网络(Graph Neural Network,简称GNN)是一种用于处理图结构数据的深度学习模型。它通过学习节点之间的关系和图的拓扑结构来进行节点分类、图分类和链接预测等任务。原理基于消息传递和节点更新的思想,每个节点将周围节点的信息进行聚合和传递,以更新自身的表征向量。具体来说,图神经网络通过定义节点聚合函数和更新函数...
DropNet 2020-ICML-DropNet Reducing Neural Network Complexity via Iterative Pruning 来源:ChenBong 博客园 Institute:NUS Author:John Tan Chong Min,Mehul Motan