If you have been reading about deep learning, you must have definitely heard the term back-propagation at least once. In this article, I explain back-propagation and computational graphs. I would recommend you read about gradient descent optimization here, before proceeding with this article. Now, let’s dive right into the explanation. Introduction …

In this article, I’ll be discussing a paper [1] that proposes a compact convolutional neural network (CNN) for detecting anomalies/defects from weakly/coarsely labelled data. The article is organized as follows. Introduction Methodology ◦ Segmentation Network ◦ Classification Network ◦ Architectural Specifications Experimental Setup ◦ Loss functions ◦ Optimizer ◦ Dataset ◦ Training setup…

A convolutional auto encoder based approach for semi-supervised anomaly detection in images. — In this article, I’ll be discussing a paper [1] that proposes an AutoEncoder based approach for the task of semi-supervised anomaly detection. If you want to look at the GitHub repository link, results and conclusion directly, please scroll to the bottom of the article. Introduction Anomaly detection refers to the task…

Learn how to perform road crack detection from just 118 images! — Back when I was researching segmentation using Deep Learning and wanted to run some experiments on DeepLabv3[1] using PyTorch, I couldn’t find any online tutorial. What added to the challenge was that torchvision not only does not provide a Segmentation dataset but also there is no detailed explanation available for…

Read to learn about 10 awesome VS Code features for enhancing your Jupyter Notebook programming experience — I have worked with Python, Deep Learning and Computer Vision for almost 5 years, in both academic research and industrial settings. I had started with Jupyter Notebook but quickly switched to Jupyter Lab because of several reasons. And I loved using it until I started to use VS Code for…

Learn about a powerful tool called FiftyOne for analyzing Computer Vision models — My name is Manpreet and I am a Deep Learning/Computer Vision Research Engineer. I have extensive experience working with various deep learning architectures for computer vision tasks like classification, object detection, tracking, segmentation, etc. Over the years I have developed my code for analyzing the performance of these models. However…

Recently, I found myself in a position where I wanted to create a Windows service that would be responsible for starting up a FastAPI server automatically on boot up. However, I couldn’t find any article or tutorial that covers it in a structured and detailed manner. Since I got it…

Knowing which metrics to use is not always straightforward — With the boom in deep learning, more and more people are learning how to train their first classifier. But once you are done training, the analysis that follows is crucial. Knowing which metrics to use is not always straightforward. …

Technical blogging: A skill with many benefits Introduction A blog is where you share your ideas, thoughts, experiences, opinions, etc. A technical blog is about technology and differs from fictional, life blogs and other categories. It is a channel for you to share your expertise in a selected domain or niche. …