Optimization methods are an integral part of the training process of Deep neural networks, but most are using them as black box optimizers. This occurs because lack of practical knowledge…
One of the challenges of face recognition is solving the "One shot learning" problem – recognizing a person using one example of his face. As we all know "conventional" supervised…
In the last article we saw the experimental design of our experiment. In this article we will see how we dealt with one of our greatest confounding variables, the preprocessing…
academic research - introductionThe Effect of machine learning algorithms Advancement Level over their performance when solving Business Analytics problems October 2019 Yossi HohashviliAcademic adviser: Adir Even, PhD, Ben-Gurion university of the NegevAdditional adviser:…
So, welcome to the blog, we covered some interesting topics in the last 10 weeks, and this article is no different. today we are going to talk about a techinuqe…
Hello there, i hope you got to read our reinforcement learning (RL) series, some of you have approached us and asked for an example of how you could use the…
Hey there, are you a data scientist or a data analyst? if you are, I bet you’ve heard of the "scikit-learn" library, and probably it is one of your primary…
We are all connected, no matter if you want to or not, you probably been interacting with some other individual in the course of your life. In fact, the average…