Resnet

Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years. One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research. …

Res2Net, Enhances ResNet Basic Block — Res2Net: A New Multi-scale Backbone Architecture, Res2Net, by Nankai University, UC Merced, and Oxford University, 2021 TPAMI, Over 1300 Citations (Sik-Ho Tsang ＠ Medium) Image Classification, ResNet Res2Net is proposed, which constructs hierarchical residual-like connections within one single residual block. …

Problem Statement: Use of residual connections to offset the effect of vanishing gradient problem is deep neural networks with large number of layers Current Approach: The approach utilized in the paper use residual learning framework that considerably gain accuracy with the increase in depth. The layers were reformed to learn…

I am currently a Ph.D. student at KAIST. Like other students, I also devoted myself to research during my doctoral period. During my Ph.D. course, I also published papers and won a world-class challenge. Not all moments were fun and smooth. But looking back, it was a significant time in…

Now, you can identify bird sounds using an app — BirdNET. Using the app also contributes to analysing bird population trends, thereby revealing the health of the environment. Imagine contributing to science as a non-scientist with only a mobile phone app, some time, and lots of curiosity. Such an endeavour…

We all know that Machine Learning made it possible for machines to perform various tasks. But this came at the cost of billions of data, and the fact is that this huge amount of data might only be practical for some scenarios. How can we solve this dependency? This is…

Image classification has been one of the most worked on domains in the field of deep learning. …

Table of Contents PART 1. FACIAL KEY POINTS DETECTION UNDERSTAND THE PROBLEM STATEMENT AND BUSINESS CASE IMPORT LIBRARIES AND DATASETS PERFORM IMAGE VISUALIZATION PERFORM IMAGE AUGMENTATION PERFORM DATA NORMALIZATION AND TRAINING DATA PREPARATION UNDERSTAND THE THEORY AND INTUITION BEHIND NEURAL NETWORKS UNDERSTAND NEURAL NETWORKS TRAINING PROCESS AND GRADIENT DESCENT ALGORITHM UNDERSTAND THE THEORY AND INTUITION BEHIND CONVOLUTIONAL NEURAL NETWORKS…