Recent posts

Research about Convolutional Neural Networks Published in ArXiv

17 minute read

Published:

A convolutional neural network (CNN) is most popular deep learning algorithm used for image related applications. I have tried to collect and curate some publications form Arxiv that related to the Convolutional Neural Networks (CNNs), and the results were listed here. Please enjoy it!

Tutorial: How to Create GitHub Pages for Academia

3 minute read

Published:

As academia, having a website to publish portfolios is really important. GitHub Pages will be a perfect solution because it doesn’t cost anything. There is no need to buy a domain and web hosting service. Everything is all in Github. This tutorial will guide you to build your GitHub Pages. Please enjoy it!

Research about Deep Learning Application in Biology Published in bioRxiv

6 minute read

Published:

Deep learning is a set of machine learning algorithms that attempt to model high-level abstractions in input data using multiple non-linear transformations. Some of the major advances in deep learning have been made in speech recognition, computer vision, and natural language processing. Considering that data volume is growing exponentially, deep learning is becoming increasingly important in the predictive analysis of big data. I have tried to collect and curate some publications form bioRxiv that related to the deep learning application in biology, and the results were listed here. Please enjoy it!

Collections of Github Repository in Python for Object Detection Task

2 minute read

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Object detection is part of the computer vision tasks related to identify or detect an object from an image or video. I have tried to collect and curate some Python-based Github repository linked to the object detection task, and the results were listed here. Please enjoy it to support your research about object detection using Python!

Research about Abstractive Summarization Published in ArXiv

4 minute read

Published:

Abstractive summary is a technique in which the summary is created by either rephrasing or using the new words, rather than simply extracting the relevant phrases. I have tried to collect and curate some publications form Arxiv that related to the abstractive summarization, and the results were listed here. Please enjoy it!