Reference: https://arxiv.org/pdf/1905.11946.pdf Presentation slides: slideshare ppt Intro Commonly, ConvNets are designed under a fixed resource budget and scaled up for better accuracy when ...

Reference: https://arxiv.org/pdf/1905.04899.pdf Presentation slides: slideshare ppt CutMix The Deep ConvNets show great performance on various computer vision tasks such as classification, ob...

OS module os module provides diverse functionalities to interact with the operating system. We’ll take a look at some of the important functions. import os def back_to_base(): os.chdir('...

Decorator Decorator in Python a function that takes another function and returns it with additional functionalities (decorate). Before understanding decorator, you need to understand two conc...

YOLO is an extremely fast object detection algorithm proposed in 2015. If you want to know more about the details, check my paper review for YOLOv1: YOLOv1 paper review In this post, we will imple...

YOLO: You Only Look Once Paper: https://arxiv.org/pdf/1506.02640.pdf When YOLOv1 was released in May 2015, it brought many attentions especially due to its extremely high speed. YOLO approach...

Iterable An iterable is any object that has __iter__ or __getitem__ method which returns an iterator or can take indices. In other words, python objects are iterable if we can get an iterator ...

ResNet ResNet was a breakthrough idea that swept ILSVRC 2015 classication, ImageNet detection, localization and COCO detection as well as segmentation competition. Then what was special about ...

The paper for today is ImageNet Classification with Deep Convolutional Neural Networks (AlexNet) by Alex Krizhevsky. Paper Link: AlexNet AlexNet The AlexNet won the first place in ILSVRC-2012\((...

Quiz on Namespace/OOP I intentionally disincluded the outputs. You should type the codes out on your own to fully understand. The way you answer each question is to write whatever that would happe...