Ahlemkaabi – Medium

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Custom Object Detection with YOLOv4

In this blog post, I will share my experience with re-training the YOLOv4 algorithm to detect different equipment during turnaround operations at the airport apron (AKA preparing the airplane for the next flight including boarding, baggage loading, and fueling). Turnaround processes are important for every airline company that’s why they…

9 min read

9 min read

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DigiRamp — Flask application

The 21st of January 2021 was my first day at Holberton School, my first day to start learning programming and how to build software, and the 29th of October 2021 was the presentation day of the result of 9 months of struggle and hard work. …

6 min read

6 min read

May 15, 2022

Time Series Forecasting using Keras-Tensorflow

In this short blog tutorial, I’ll share a way to do Time Series Forecasting. the dataset used is coinbaseUSD historical data from this link, you can download it and try yourself how this works. You find the code in my GitHub account, link at the end of this blog. An introduction to Time Series Forecasting

Time Series Forecasting

6 min read

Time Series Forecasting

6 min read

Mar 4, 2022

Transfer Learning using InceptionV3 Keras application for CIFAR-10 Photo Classification

Building models from scratch to complete already solved tasks won’t save you time and resources. Transfer learning technique is a much better way! Introduction Transfer Learning is another concept in machine learning. …

Transfer Learning

3 min read

Transfer Learning

3 min read

Mar 1, 2022

The purpose of Activation functions in neural networks

Introduction

Machine Learning

3 min read

The purpose of Activation functions in neural networks

Machine Learning

3 min read

Feb 21, 2022

Gradient Descent Optimization Techniques for Machine Learning Algorithms

In Machine learning we aim to build models that gives accurate predictions. In order to achieve this goal, optimizing learning process is key. It is the process of adjusting hyper-parameters in order to minimize the cost function by using one of the optimization techniques. In this post, I will share…

8 min read

Gradient Descent Optimization Techniques for Machine Learning Algorithms

8 min read

Feb 3, 2022

Convolutional Neural Networks — Summary of Krizhevsky et. al.‘s 2012 paper

ImageNet and the ImageNet Challenge: Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. It is a data-set of over 15 million labeled high-resolution images belonging to roughly 22,000 categories. Introduction: (background of the study…

Convolutional Network

5 min read

Convolutional Neural Networks — Summary of Krizhevsky et. al.‘s 2012 paper

Convolutional Network

5 min read

Jan 30, 2022

Regularization Techniques for Machine Learning models

Introduction When talking about building supervised learning algorithms in ML, it won’t be surprising to think about which regularization technique to use — for better fitting results. In the training phase the model may perform accurately on training data, but fail to perform well on test data, known as Overfitting —…

Machine Learning

6 min read

Machine Learning

6 min read

Oct 9, 2021

STEM position, Machine Learning Developers

In this post, I will share with you what I have found when answering questions about the STEM position. Since I am not an expert, my blog will be a collection of the experts’ opinions in this field. …

Machine Learning

8 min read

Machine Learning

8 min read

Sep 5, 2021

What happens when you type holbertonschool.com and press ‘enter’ ?

Hello everybody, today’s topic is about the web stack, we will try to make it easy for you to understand it or if you have an idea we hope this blog give you more knowledge. Every time we ask the browser for a web page we just type the domain…

7 min read

What happens when you type holbertonschool.com and press ‘enter ?

7 min read