Training

Location:Training / Tools/EDA / Simulation / MATLAB common function teaching video / compose

You can log in to your eeworld account to continue watching：
compose
Login

Duration：8 minutes and 8 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

You Might Like

Recommended Posts

V850E/Dx3: Next-generation 32-bit automotive instrument cluster microcontroller family: V850E/Dx3: A new generation of 32-bit automotive instrument cluster microcontrollers based on the 32-bit RISC CPU V850, including dedicated peripherals, up to 6 integrated stepper motor controllers, d; frozenviolet Automotive Electronics

The domestic operating system RT-Thread seems to be more powerful and can enter the automotive field: RT-Thread is not unfamiliar to netizens. Some netizens like it, and some netizens also said:Whether you question or follow, I will not comment on this. However, this afternoon, the RT-Thread official; nmg Domestic Chip Exchange

Research on a novel power factor correction chip: Research on a novel power factor correction chip Abstract: This paper introduces a novel power factor correction (PFC) chip. Its main features are to improve the power factor at light load and improve; zbz0529 PCB Design

Using SPMC75F2313A to implement LIN node: Abstract: This application example uses SPMC75F2313A and universal LIN Bus transceiver TJA1020 (or ATA6661) to implement LIN (Local Interconnect Network), a low-cost automotive network transmission. K; rain MCU

Getting Started with CircuitPython for the Raspberry Pi Pico: Adafruit's Raspberry Pi Pico and CircuitPython Primer details how to use the different features of the Pico with CircuitPython, a simple comparison of MicroPython vs. CircuitPython, and FAQs and troub; dcexpert MicroPython Open Source section

Switching Power Supply Interest Group Task 06: [i=s]This post was last edited by maychang on 2020-9-11 11:27[/i]　　Question 05:　　1. We already know from Question 04: In an ideal Boost circuit, the voltage across the two ends is equal to the output; maychang Switching Power Supply Study Group

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

Hot VideosMore

Hot ArticlesMore

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