Uri Almog – Medium

Uri Almog

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…

Jun 26

Transformer Attention Block, Explained Simply

Jun 26

Published in
Towards Data Science

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

Neural networks can improve prediction in drug resistance prediction of pathogens

Mar 20, 2023

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

Mar 20, 2023

Published in
Towards Data Science

Generative Adversarial Networks (GANs), Explained and Demonstrated

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

Dec 30, 2022

Generative Adversarial Networks (GANs), Explained and Demonstrated

Dec 30, 2022

Published in
Towards Data Science

Decision Trees, Explained

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

May 8, 2022

Decision Trees, Explained

May 8, 2022

Published in
Towards Data Science

CenterNet Explained

CenterNet is an anchorless object detection architecture.

Apr 10, 2021

CenterNet Explained

Apr 10, 2021

Published in
Towards Data Science

YOLO V3 Explained

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

Oct 9, 2020

YOLO V3 Explained

Oct 9, 2020

Published in
The Startup

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…

Oct 3, 2020

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

Oct 3, 2020

Training Neural Networks Explained Simply

In this post we will explore the mechanism of neural network training, but I’ll do my best to avoid rigorous mathematical discussions and…

Aug 28, 2020

Training Neural Networks Explained Simply

Aug 28, 2020

The Perceptron

Perceptron is the most basic form of a neural network and therefor a good place to start. Perceptrons are a type of binary classifiers —…

Feb 22, 2020

The Perceptron

Feb 22, 2020

Published in
Geek Culture

Practical Problems, Math and AI

At the end of the first post I wrote that next we’d be learning a basic neural network, but later I realized that there should come…

Feb 22, 2020

Practical Problems, Math and AI

Feb 22, 2020

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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