Nov 6Ultimate Guide to Fine-Tuning in PyTorch : Part 3 —Deep Dive to PyTorch Data Transforms with ExamplesIf you’ve ever involved in fine-tuning a PyTorch model, you’ve likely encountered PyTorch’s built-in transformation functions, which make data augmentation a breeze. And even if you haven’t had prior experience with these functions, fear not. In this article, we will take an in-depth look into the world of PyTorch’s transformation…Pytorch21 min readPytorch21 min read
Jul 215 Ways I use ChatGPT as a Machine Learning EngineerAs a ML engineer with over four years of experience in the AI field, I’ve witnessed the remarkable evolution of this space. Among the many innovations that have emerged in recent years, ChatGPT stands out as one of the best. It’s like having a super human assistant right at your…ChatGPT5 min readChatGPT5 min read
Jul 17Ultimate Guide to Fine-Tuning in PyTorch : Part 2 — Improving Model AccuracyThis article is second part of Fine tuning Pytorch model series, with each part focusing on different aspects of fine-tuning models. Find all the articles of this series here: Ultimate Guide to Fine-Tuning in PyTorch A set of articles that explore various aspects of adjusting models in PyTorch. The aim is to transform this collection…rumn.medium.com Outlines Introduction Data Specific Techniques Working with Hyper-parameters for Optimal PerformanceDeep Learning8 min readDeep Learning8 min read
Jul 17Ultimate Guide to Fine-Tuning in PyTorch : Part 1 — Pre-trained Model and Its ConfigurationWhen it comes to training deep learning models today, transfer learning through fine-tuning a pre-trained model on your own data has become the go-to approach. By fine-tuning these models, we can leverage their expertise and adapt them to our specific tasks, saving valuable time and computational resources. This article is…Deep Learning16 min readDeep Learning16 min read
Jun 4YOLO Data Augmentation ExplainedOutline Introduction Yolo Data augmentation config file Different Data Augmentations in Yolo Conclusion Introduction When it comes to object detection algorithms, YOLO stands tall as the most popular choice among machine learning practitioner. Its exceptional speed and accuracy make it a preferred option for a wide range of applications. …Yolov57 min readYolov57 min read
Apr 18Convex vs. Non-Convex Functions: Why it Matters in Optimization for Machine LearningOutlines Introduction Minima or maxima of a function Loss minimization Convex Function Non-convex Function Conclusion Introduction If you have been delving into the world of machine learning, you may have encountered the phrases “convex” and “non-convex” functions in the context of optimization algorithms and loss minimization. …Machine Learning7 min readMachine Learning7 min read
Mar 23Create a Custom PyTorch Dataset with a CSV FileIntroduction The PyTorch default dataset has certain limitations, particularly with regard to its file structure requirements. Specifically, it expects all images to be categorized into separate folders, with each folder representing a distinct class. …Pytorch5 min readPytorch5 min read
Dec 25, 2022AI model explainabilityAI model explainability refers to the ability of a machine learning model to provide insights into how it arrived at a particular decision or prediction. …Machine Learning2 min readMachine Learning2 min read
Nov 25, 2020Tactics to handle Imbalanced Data in Machine LearningIntroduction Machine learning models’ performance heavily depends on the quality of data you fade in for the training. Therefore your data must be cleaned and balanced. But there would be a situation when we’ll face an imbalanced data problem. …Machine Learning4 min readMachine Learning4 min read
Nov 21, 2020Guide to Feature Extraction Approaches for Text DataIntroduction Text data contains a lot of information and mostly is the primary source of insights for the companies or educational institutions. Customer feedback, product reviews, Survey data, etc., are mainly in text form. …Machine Learning5 min readMachine Learning5 min read
