<h1 id="introduction"><a aria-hidden="true" tabindex="-1" href="#introduction"><span class="icon icon-link"></span></a>Introduction</h1>
<p>Pytorch Autograd is a module in the Pytorch library that provides automatic differentiation for all operations on tensors. It allows for the computation of gradients of tensors with respect to their inputs, which is particularly useful in deep learning applications. Autograd tracks the history of all computations performed on a tensor and generates a computational graph, which is then used to compute gradients through backpropagation. This means that it automatically computes derivatives of complex functions without requiring manual derivation, making it a powerful tool for training neural networks. With Pytorch Autograd, developers can easily define and train complex models with ease and efficiency.</p>
<h1 id="projects"><a aria-hidden="true" tabindex="-1" href="#projects"><span class="icon icon-link"></span></a>Projects</h1>
<p><a href="/projects/Autonomous%20CyRide%20Micro-scale%20Bus" title="Autonomous CyRide Micro-scale Bus">Autonomous CyRide Micro-scale Bus</a></p>

Abstract Classes OOP

JavaDocs

Convolutions

Image Sorting

Agile Methodologies

Code Linters

Automated GitHub Actions

Carla Car Simulator

Continuous Integration Continuous Delivery (CI CD)

Differential Equations

Conda Environments

Cisco Any Connect

C (Programming Language)

LTSpice

Fusion360

Generic Classes OOP

FPGA

LSP Servers

High Pass Filters

Gradients

Code Reviews

Impedance

JSON

Insertion sort

Algorithms

Integration

Anaconda Python Environments

Electrical Admittance

Conductance

Impulsr Responses

Github Actions

JUnit Tests

Exponential Mathmatics

Debugging of Code

CSharp (Programming Language)

Mechanome Wheels

Neovide Editor

Calculus

List Java Interface

JSONL

ListIterator Interface

Low-Pass Filters

PID Control Systems

Linux

GUI Development

MATLAB Signal Processing Toolbox

Dirac Delta Function

Eclipse IDE

Project Planning

MATLAB

Ubuntu Linux

Unit Step Functions

DevOps Tools (e.g., Docker, Kubernetes)

EMI Radiation

Linked Data Structures

Markdown

Oscilloscope Utilization

Ohm’s Law

Agile Methodologies 1

Mind Maps

Polymorphism

MATLAB (Programming Language)

Steady-State AC Analysis

Per unit Analysis

Serial Monitor

Ramp Functions

Signal Classification

Serial Communication

Electrical Probing

Pytorch Autograd

OpenCv

Optimization

ROS2

Neovim

Github Issue Management

Partial Derivitives

Nim (Programming Language)

Test Driven Development

Classical Physics

RF Propagation

Text Editing

Second Order Filters

Svelte Components

Svelte Web Frame Work

Video Editing

Bode Plotting

Three-phase Circuit Analysis

VSCode IDE

Windows Powershell

Obsidian MD

Video Signals

WebEx

Multivariable Calculus

`.m` files

Shunt impedance

Windows Subsystem for Linux

Transfer Functions

Skills

AGEDS 461 Innovation Diffusion and the Role of Agricultural and Extension Education 1

AGEDS 461 Innovation Diffusion and the Role of Agricultural and Extension Education

CHEM 167 General Chemistry for Engineering Students

EE 303 Power Systems and Electronics

EE 394 Program Exploration

PHYSICS 231 Introduction to Classical Physics I

CS 228 Introduction to Data Structures

EE 285 Problem Solving Methods and Tools for Electrical Engineering

Math 267 Elementary Differential Equations and Laplace Transforms

EE 201 Electric Circuits

MATH265

EE 230 Electronic Circuits and Systems

PHYSICS 232 Introduction to Classical Physics II

EE 224 Signals and Systems I

CS 227 Introduction to Object-Oriented Programming

academics

First Blog Post

How to install WSL2 with Fedora on Windows 11

blog

Lex Fridman Podcast

goals

Sun Shade Golf Sprayer

Temperature Sensing Circuit Design Project Lab EE230

EE 230 Lab 7

Electrical Engineering 185 Lab 7

Enigma Machine in C + MATLAB

FTC Robotic Career

Dog Fetch AI Machine

Autonomous CyRide Micro-scale Bus

Java Stout Doubly Linked List

Canvas Temple Plugin

Miracle Rice in Bali Case Study

Earth Extension of Agriculture

Obsidian Spice

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