on-device AI applications running on battery without internet connectivity are gaining ground primarily because of low power, low latency and enhanced privacy benefits. Deploying AI models on the microcontrollers (aka MCUs), IoT or edge device is a tough proposition. …


on-device AI applications running on battery without internet connectivity are gaining ground primarily because of low power, low latency and enhanced privacy benefits. Deploying AI models on the microcontrollers (aka MCUs) is a tough proposition. …


Target your favorite ML models to tiny devices

Machine learning and deep learning models have been changing markets, products and life styles one vertical at a time. Today, bringing ML models to embedded system could be as complex as stitching 8 steps in a flow.

ML application development for tiny devices

Embedded machine development is hard as it is, bringing ML models to tiny…


Like Micro-Controllers Using deepC

deepC Inference Framework and Compiler (github.com/ai-techsystems/deepC)

What’s DNN Compiler?

Deep Neural Network Compiler (DNNC) is an AOT Compiler and inference framework. Part-1 and Part-2 of this article series showed how to use DNNC as an inference framework. …


PART-2

DNN Compiler (github.com/ai-techsystems/dnnCompiler)

What’s DNN Compiler?

Deep Neural Network Compiler (DNNC) is an AOT Compiler and inference framework. Part-1 of this article series showed how to use DNNC as an inference framework. This article shows how to use DNNC to compile a machine learning model on a microcontroller or microcomputer worth ranging from 10¢ to $5.

And what is a deep learning model?


Diving Into a AI compiler

PART-1

DNN Compiler (github.com/ai-techsystems/dnnCompiler)

What’s DNN Compiler?

Deep Neural Network Compiler is an AOT Compiler and inference framework. Getting started is easy since it has only two objects.

  1. tensors | 🔳🔲
  2. operators | ➕➖✖➗

So what is a tensor?

Tensor is simply an array of numbers with the ability to transform constrained by algebraic rules. …


PyTorch 101 | Towards AI

Introducing the basics of PyTorch in four minutes, with sample code

© AITS (www.ai-techsystems.com)

This article helps newbies to get started with python PyTorch in 2 minutes with code written in python. For those who don’t know what PyTorch is, it is an open source deep learning platform from Facebook that provides a seamless path from research prototyping to production deployment.

Without further ado…


And how to transform your dataset to Gaussian?

Gaussian Distribution (credit: Physion)

Distributions can be either tricky or simple things depending on your background and mistakes you have made in the past. One of my dear friend recently asked me”

if I have a data distribution that is not strictly gaussian in nature, taking a log of the data distribution will make…


Google’s Deep Learning Infrastructure Stack with Facebook’s Pytorch

in the Cloud with Free GPUs

Step 1: Install the Google Colaboratory app in chrome browser

This step is as simple as launching your chrome browser and clicking this link to install chrome extension. This chrome extension is based on jupyter notebook, an open source web development environment for machine learning. …


Real-time Vehicle Detection | Towards AI

Real-time Vehicle Detection with 50 frames/sec of HD resolution

What is Vehicle detection?

Vehicle detection is a part of traffic surveillance methods in a live traffic feed that involves detecting all types of vehicles including cars, vans, trucks, bicyclists, etc. …

Rohit Sharma

🏢 ai-techsystems.com | 🕊@srohit | 🔗 linkedin.com/in/srohit0 | ❔Quora: qr.ae/TWGSt9 | 💻 Github: srohit0.github.io

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