## Angular Pacman

An implementation of Pacman using AngularJS. Try playing it!

An implementation of Pacman using AngularJS. Try playing it!

Recurrent nets are a type of neural network specialized to address information stored in the order in which inputs are passed in. Applications include video captioning, time-series analysis, and natural language processing.

Though a Max Pool layer does no learning of its own, it frequently improves the performance of a convolutional net by leaps and bounds, making it both faster and more accurate.

In this post, we’ll explore Convolutional Neural Networks. These are a type of neural net specifically designed for images, and other inputs with a logical $2$-dimensional structure.

An overview of the simplest feedforward neural network, and the basic concepts behind it.

In this project, I derive the mathematical model for the X-configuration quadcopter via Lagrangian Equations of motion and quaternions. I then implement a feedback controller to stabilize the quadcopter attitude with respect to user-inputs.

In this post, I derive the dynamics of a quadcopter in the t-configuration via the Lagrangian equations of motion, while describing the quadcopter attitude via 3-1-3 Euler angles.

Logistic regression is the method of generating logistic functions as discriminating models between two classes. This post will explore the math that leads up to this technique.

In this project, I calculate quaternion parameters from accelerometer readings and gyroscope readings. The quaternion parameters are then passed through a simple complementary filter. Upon obtaining the parameters of this rotation formalism, the orientation of the sensor platform (in this case, a quadcopter) is emulated on screen.

In this post, we’ll derive the relationship between an object’s angular velocity, and its $3$-$1$-$3$ Euler Angles.

Euler Angles are one of what are known as *Rotation Formalisms*. It’s a way to express how *rotated* a particular object is, in relation to the fixed *Inertial* coordinates – typically of the earth. Its appeal stems from its simplicity and intuitive derivation.

In physics and engineering, we need a way to mathematically express how an object is oriented. Which way is it pointing? Or *how rotated* is it? In this post, we’ll go over the mathematical formalities of expressing and manipulating an object’s orientation on a 2-dimensional plane.