Medium

Uri Almog

In

Data Science Collective

by

Uri Almog

·

Nov 19, 2025

Setup and Use Your Own AI Agent

With A Working Code Example

Setup and Use Your Own AI Agent

In

Data Science Collective

by

Uri Almog

·

Apr 23, 2025

Adding Training Noise To Improve Detections — The Denoising Mechanism

Modern vision transformers add noise to improve the performance of 2D and 3D object detection. In this article we will learn how this…

Adding Training Noise To Improve Detections — The Denoising Mechanism

Uri Almog

·

Feb 20, 2025

AI and Remote Sensing in Space Missions

Machine learning (ML) models are deeply integrated into our daily lives and workplaces, influencing everything from billion-dollar…

AI and Remote Sensing in Space Missions

Uri Almog

·

Jun 26, 2024

Transformer Attention Block, Explained Simply

Two events in recent years where disruptive in the area of large language models, or LLMs for short. The first one was the publication of…

Transformer Attention Block, Explained Simply

In

TDS Archive

by

Uri Almog

·

Mar 20, 2023

Predicting Drug Resistance in Mycobacterium Tuberculosis Using a Convolutional Network — Paper…

Neural networks can improve prediction in drug resistance prediction of pathogens

Predicting Drug Resistance in Mycobacterium Tuberculosis Using a Convolutional Network — Paper…

In

TDS Archive

by

Uri Almog

·

Dec 30, 2022

Generative Adversarial Networks (GANs), Explained and Demonstrated

How GANs work and how you can use them to synthesize data

Generative Adversarial Networks (GANs), Explained and Demonstrated

In

TDS Archive

by

Uri Almog

·

May 8, 2022

Decision Trees, Explained

How to train them and how they work, with working code examples

Decision Trees, Explained

In

TDS Archive

by

Uri Almog

·

Apr 10, 2021

CenterNet Explained

CenterNet is an anchorless object detection architecture.

CenterNet Explained

In

TDS Archive

by

Uri Almog

·

Oct 9, 2020

YOLO V3 Explained

In this post we’ll discuss the YOLO detection network and its versions 1, 2 and especially 3.

YOLO V3 Explained

In

The Startup

by

Uri Almog

·

Oct 3, 2020

Object Detection With Deep Learning: RCNN, Anchors, Non-Maximum-Suppression

Object detection in images is a common task in computer vision. Its use cases vary from missile guidance to automated production lines…

Object Detection With Deep Learning: RCNN, Anchors, Non-Maximum-Suppression

Uri Almog

Uri Almog

A machine learning engineer writing about computer vision. Loves to trek, scubadive, visual arts and combinations thereof. https://www.linkedin.com/in/urialmog/

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