5 Computer Vision and Deep Learning Fundamentals

5 Computer Vision and Deep Learning Fundamentals

5 Computer Vision and Deep Learning Fundamentals. Required to Better Understand How the Latest CV & DL Projects Work

As I was collating my previous list of deep tech projects and then talking about each one, I realized that it might be a good idea to write an easy-to-understand guide that will cover the fundamentals of Computer Vision and Deep Learning so non-technical readers can better understand the latest deep tech projects. The first part will be about image processing basics (old school computer vision techniques that are still relevant today) and then the second part will be deep learning related stuff :)

Why is Computer Vision important?

I personally understand it as the bridge between the virtual world and the physical world as we know it. It is the eyes that we implant on machines for them to “gain consciousness” and navigate our world in intelligent ways that’s never been explored before. It is actually used in:

  • Robots,
  • Self-Driving Cars,
  • Smart Stores (like Amazon Go),
  • Optimizing Marketing Content,
  • Facial Recognition Applications,
  • Industries like — Medical Imaging/Operations, Military, Entertainment, etc

There’s TONS of other Computer Vision projects that’s going on right now and undoubtedly, Computer Vision applications will proliferate and then seamlessly integrate into our daily lives — changing the way we live as we know it. So without further ado,

Let’s get started! ᕙ(^▿^-ᕙ)

technology computer-vision programming deep-learning tech

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Why you should learn Computer Vision and how you can get started

A few compelling reasons for you to starting learning Computer. In today’s world, Computer Vision technologies are everywhere.

Self-supervised Representation Learning in Computer Vision — Part 2

Part 1 of the series looked at representation learning and how self-supervised learning can alleviate the problem of data inefficiency in learning representations of images.

Few Shot Learning — A Case Study (2)

Implementations regarding all of above experiments alongside the different result plots are provided in GitHub repository.

Deep Computer Vision for the Detection

Deep Computer Vision is capable of doing object detection and image classification task. In image classification tasks, the particular system receives some input image.

4 Pre-Trained CNN Models to Use for Computer Vision with Transfer Learning

4 Pre-Trained CNN Models to Use for Computer Vision with Transfer Learning. Using State-of-the-Art Pre-trained Neural Network Models to Tackle Computer Vision Problems with Transfer Learning