• You can log in to your eeworld account to continue watching:
  • randperm
  • Login
  • Duration:49 seconds
  • Date:2018/07/31
  • Uploader:老白菜
Introduction
keywords: Neural Networks MATLAB
This course brings together nearly 60 of the most frequently used functions in MATLAB, including basic operation functions, neural network functions, graphical user interface GUI functions, etc. It is taught in units of knowledge points and in an order from easy to difficult, allowing you to learn MATLAB easily
Unfold ↓

You Might Like

Recommended Posts

Organic EL backlight using phosphorescent materials has been successfully developed and can be used as a backlight source for LCD panels
Konica Minolta Technology Center has successfully developed an organic EL white light-emitting element with an initial brightness of 1000cd/m2, a luminous efficiency of 64lm/W, and a brightness half-l
frozenviolet Automotive Electronics
Master these steps to fully utilize the performance of eFPGA, SoC architects know the selection skills
Embedded FPGA (eFPGA) refers to embedding one or more FPGAs in a chip such as ASIC, ASSP or SoC in the form of IP.  In other words, an eFPGA is a digitally reconfigurable structure consisting of progr
Aguilera Microcontroller MCU
New Products Review: CES 2006 Consumer Electronics Show Closes
[i=s]This post was last edited by jameswangsynnex on 2015-3-3 20:00[/i]
aifang Mobile and portable
Simulink and STM32 development method based on MBD model
[i=s]This post was last edited by xinyuanliu on 2020-9-25 13:09[/i]This article first generates code through a simple Simulink model, then copies the code to an STM32 project to compile the software.
xinyuanliu stm32/stm8
Sugar Glider Part ⑧: Assembly and Test of the RSL10-based Sugar Glider Exercise Reward System
[i=s]This post was last edited by justd0 on 2021-7-1 02:02[/i]Introduction Related posts Sugar Glider ⑤ Sugar Glider Health Monitoring System Based on RSL10--Project Introduction Sugar Glider Part ⑥ H
justd0 onsemi and Avnet IoT Innovation Design Competition
Generate random numbers in C
In C language, use the rand() function to generate random numbers and the srand() function to initialize the random number seed. The prototype of rand() function is int rand(void), which is declared i
fish001 Microcontroller MCU

推荐文章

STM32Cube.AI将神经网络转换为STM32的优化代码 2024年08月08日
STM32Cube.AI是业界最先进的工具包,能够与流行的深度学习库互操作,以转换任何用于 STM32 微控制器的人工神经网络( MCU)运行优化推理。该软件套件包括 X-Cube 扩展软件X-CUBE-AI 、为我们的SensorTile 开发套件 (STEVAL-STLKT01V1)提供应用示例的功能包FP-AI-SENSING1,以及对我们的ST BLE 传感器的更新为...
人工神经网络(Artificial Neural Network)算法简介 2024年07月18日
人工神经网络,简称神经网络,是一种模仿生物神经网络的结构和功能的数学模型或者计算模型。其实是一种与贝叶斯网络很像的一种算法。之前看过一些内容始终云里雾里,这次决定写一篇博客。弄懂这个基本原理,毕竟现在深度学习太火了。 神经网络是一种方法,既可以用来做有监督的任务,如分类、视觉识别等,也可以用作无监督的任务。首先,我们看一个简单的例子。如下图所示(这个图网上有很多人引用了,...
什么是神经网络?为什么说神经网络很重要?神经网络如何工作? 2024年07月16日
什么是神经网络? 神经网络是一个具有相连节点层的计算模型,其分层结构与大脑中的神经元网络结构相似。神经网络可通过数据进行学习,因此,可训练其识别模式、对数据分类和预测未来事件。 神经网络将您的输入细分为多个抽象层。比如,可通过大量示例训练其识别模式为语音还是图像,就像人类大脑的行为一样。神经网络的行为由其各个元素的连接方式以及这些连接的强度或权重确定。在训练期间,系统会根据指...
基于传感器和深度学习神经网络的血压监测系统 2024年06月04日
持续可靠地监测血压和心功能对心血管疾病的诊断和预防具有非常重要的意义。然而,现有的心血管监测仪器体积庞大且监测成本高昂,限制了其在早期诊断中的广泛应用。 清华大学化学系的科研团队在Science Advances期刊上发表了以“Monitoring blood pressure and cardiac function without positioning via a d...

Recommended Content

Circuit

可能感兴趣器件

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号