Convolutional Neural Networks (CNN) are widely used for image classification tasks due to their ability to capture spatial patterns and hierarchies in image data. This project focuses on image ...

In this article, we will discuss how Convolutional Neural Networks (CNN) classify objects from images (Image Classification) from a bird’s eye view.

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...

In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...

This project consists of classifying images of dogs using hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT). I will be comparing between a pure CNN architecture and a hybrid ar ...

The agricultural sector has an important role in Indonesia which can serve as the backbone of the economy, as well as supporting the food needs of the Indonesian people themselves. Therefore, research ...

Automated Intent Classification Using Deep Learning (Part 2) Discover how to build an automated intent classification model by leveraging pre-training data using a BERT encoder, BigQuery, and ...