Summary of Fast R-CNN Paper
The authors developed a fast r-cnn newtork model for object detection. This network builds on the top of previously introduced R-CNN network to efficiently classify object proposals using deep convolutional...
Summary of R-CNN Paper
The authors developed a r-cnn newtork model for object detection and semantic segmentation. The main idea of the network was to apply high-capacity convolutional neural networks (CNNs) to bottom-up region...
Summary of Densenet Paper
The authors developed a dense newtork model for image classification. The main idea of the network was to connect each layer to every other layer in the feed forward fashion...
How to Scrape Web using Python, Selenium and Beautiful Soup
In this tutorial, we will learn how to scrap web using selenium and beautiful soup. I am going to use these tools to collect recipes from a food website and...
Summary of Dilated Convolutions Paper
The authors developed a convolutional newtork model especially designed for semantic segmentation. The main idea of the network was using dilated convolutions to aggregate multi scale contextual information without losing...