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Series
In this series, you will first get acquainted with the basics of explainable artificial intelligence, and then we will review several practical projects in this field.
This work represents one of the first efforts to bring explainability into Persian language QA systems, leveraging the powerful BERT model. Overview of BERT BERT (Bidirectional Encoder Representations from Transformers) is a groundbreaking model deve...
This blog post introduces an explainable Convolutional Neural Network (CNN) model I developed for the Fashion MNIST dataset. The work was initially presented at the ICCKE 2022 conference. Overview of the CNN Model CNNs have become the go-to models fo...
Today, with the advancement of artificial intelligence models and the development of models such as deep neural networks, understanding the cause of the results of these models has become impossible. These models, which are generally called black box...
