Linear Algebra done right

How to learn Linear Algebra ? My recommendation is that stop following all the random material. It rather confuses you. If you get stumped by things like "Eigen Vector", "Singular Values", you have landed at the correct page. Best way, I feel is to spend a couple of weeks and thoroughly follow the lectures from … Continue reading Linear Algebra done right →

Convex Hulls of Special Euclidean Groups

Don't get bogged down by the heavy sounding title. Let's dissect the title first. "Special Euclidean Group" refers to the Euclidean transform aka the rotation and translation matrix together. Recall that the rotation matrix is a 3x3 matrix (9 numbers in all) but have special structure where the determinant of matrix need to be 1.0 … Continue reading Convex Hulls of Special Euclidean Groups →

Alternating Minimization

Alternating minimization, is a simple and easy to implement method to compute minima of a function of 2 more variables. Although this looks like a heuristic, the convergence can be proved if the function you are trying to optimize follows the 5-point-property. In this post I am using the alternating minimization approach to finding numerical … Continue reading Alternating Minimization →

Intel Compute Sticks 2

I recently got the Intel Compute Stick 2 (NCS2). It can do neural network inference. The process is to start with a frozen tensorflow file (.pb), then convert it to IR format (which the NCS2 can understand). You need to use OpenVINO for it. There was an earlier API which is now defunct. Here is … Continue reading Intel Compute Sticks 2 →

Toy Gaussian Mixture Estimation with EM Algorithm

This terms quite often in computer vision related research papers. I am going to toyify it (a core simple explanation). All the code snippets are to be found along with the post. This is roughly a summarization of an excellent youtube-mini-series by Victor Lavrenko. The code snippets are my works. Preliminaries To understand this, you … Continue reading Toy Gaussian Mixture Estimation with EM Algorithm →

Generating Music from Basics

In this post, I am discussing on music notes, frequencies and the science behind it. Along the way I shall live demo you what I am talking about. For the demos, I am using an arduino nano to generate PWM signals (square-wave) and a cheap buzzer speaker (Piezoelectric). It is possible to use a headphone … Continue reading Generating Music from Basics →

List of Significant Probability Puzzles

I am collecting a list of probability/statistics/random processes puzzle problems. Click on the links for the description and solutions of the problem. It is well worth the effort to study, understand and derive the solutions to these. Helps sharpen the mind and increase your analysis skill. Please feel free to add your suggestion if I … Continue reading List of Significant Probability Puzzles →

Hands on TensorRT on NvidiaTX2

Resources: Official Base Page: https://developer.nvidia.com/tensorrtOfficial User Guide: https://docs.nvidia.com/deeplearning/sdk/tensorrt-api/python_api/index.htmlWebminar: Introduction to TensorRT. http://on-demand.gputechconf.com/gtcdc/2017/video/DC7172 My Codes involving TensorRTMinimalist demo for Keras model --> .pb --> .uff [GIT]C++ API for TensorRT5, works on TX2 [GIT] Introduction You are most probably familiar with deep learning frameworks like Tensorflow, Pytorch, mxnet etc. These frameworks are general purpose tools geared towards … Continue reading Hands on TensorRT on NvidiaTX2 →

Midnight Sun Camping

In school geography I think almost everyone learns, that there are place far out in the north where sun does not set for a few months in summer and the sun does not rise for a few months in winter. We tropical kids (I am from Mumbai, India!), cannot possibly fathom this sentence. However, right … Continue reading Midnight Sun Camping →

Part-3 : Controlling a Mechanical System

This is the third post in my series on control systems. In part-1 we explored what the differential equations can do for you and how to make use of a differential equation, particular the Euler-Lagrange equations to describe a mechanical system. In part-2, we derived these differential equations for our 'pendulum on a cart' system. … Continue reading Part-3 : Controlling a Mechanical System →