This project enables a quadcopter to autonomously achieve desired control behaviors such as takeoff and landing. Controls designed with a reinforcement learning approach.
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Updated
Feb 11, 2021 - HTML
This project enables a quadcopter to autonomously achieve desired control behaviors such as takeoff and landing. Controls designed with a reinforcement learning approach.
A interactive visualization of several optimization methods
A discussion of forward propagation, backwards propagation, and gradient descent in the context of neural nets (with a complementary refresher of basic calculus).
Linear and Logistic Regression on Airbnb dataset
An Implementation of the Gradient Descent Algorithm on the 🏭Combined Cycle Power Plant DataSet🏭.
This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent
Linear Regression and Visualization with JavaScript
Visual tool to help explain gradient descent within supervised machine learning algorithms.
A recommendation system for video games, which suggests gamers the best fit game for them based upon their choice and gaming-habit.
Training a single linear neuron using gradient descent. Program written in JavaScript/HTML.
A simple demo in which a Neural Network is trained to recognize hand-written digits
Practicing Backpropagation with Gradient Descent to build a Neural Network
gradient is a small package for efficient descent computation in R
Two Python notebooks in which Stochastic Gradient Descent and K-means algorithms are run over the Spark framework
Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Optimization course assignments
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