Category: Python

Deep Learning – Convolutional Neural Network

In this next part of the Deep Learning series, we will explain how a Convolutional Neural Network (CNN) model works and use PyTorch for a practical demonstration to classify images of digits using the MNIST dataset.

Here is the link to the article on Deep Learning using CNN:

Deep Learning – Convolutional Neural Network

Enjoy 🙂 !!!

Quick Tip :: JetBrains DataSpell Fix – Markdown Appears Blank

For the users of JetBrains DataSpell IDE for all AI/ML notebook work, if the Markdown appears blank, try the following steps to fix:

    1. Navigate to Main Menu -> File -> Invalidate Caches…
    2. Check the item ‘Delete embedded browser engine cache and cookies’
    3. Click on ‘Invalidate and Restart’

Hope this tip helps others looking for a solution !!!

 

Quick Tip :: Running Text-to-Image Diffusion Model on a Local Machine

In this short quick tip article, we will demonstrate how one can run the ‘Flux.1-Schnell‘ text-to-image Diffusion model on a local machine (either a desktop with 16gb NVidia GPU or an Apple Silicon Mac) to generate an image given an input prompt.

Here is the link to the short quick tip article:

Quick Tip :: Running Text-to-Image Diffusion Model on a Local Machine

P.S: This is the 400th article post on PolarSPARC !!!

Happy New Year – Enjoy 🙂 !!!

Hands-On with RFID/NFC

Most of us have been using some form of a badge or tag to enter the office building OR tap a credit card to make a payment at the checkout.

Ever wondered what is really going on behind the scene when we tap a card on the card reader ???

This is where the RFID/NFC technology comes into play. We will leverage a Raspberry Pi 4 along with a Mifare RC522 RFID module to get our hands dirty. Here is the link to the article demonstrating the concept of RFID/NFC:

Hands-On with RFID/NFC

Enjoy 🙂 !!!