A Guide to the DataLoader Class and Abstractions in PyTorch
We will explore one of the biggest problems in the fields of Machine Learning and Deep Learning: the struggle of loading and handling different types of data.
Visual Question Answering: a Survey
URL: https://www.progressiverobot.com/introduction-to-visual-question-answering/ We've seen a lot of advancements in the last few years in many subdomains of machine learning. Computer vision tasks like object detection and image segmentation, as well as NLP tasks like entity recognition, language generation, and question answering, are now being solved by neural networks and approached much differently, with more speed […]
The Swish Activation Function
This blogpost is an in-depth discussion of the Google Brain paper titled “Searching for activation functions” which has since revived research into activation functions.
Evaluating Object Detection Models Using Mean Average Precision (mAP)
URL: https://www.progressiverobot.com/mean-average-precision/ To evaluate object detection models like R-CNN and YOLO, the mean average precision (mAP) is used. The mAP compares the ground-truth bounding box to the detected box and returns a score. The higher the score, the more accurate the model is in its detections. In my last article we looked in detail at […]
Integrating GenAI Agents into Your Website: A Step-by-Step Guide
Learn how to integrate GenAI agents into your website to enhance user engagement and automation. Follow our guide for a seamless GenAI integration process.
A Complete Guide to Image Super-Resolution in Deep Learning and AI
Understand the latest techniques, models, and applications of image super-resolution in deep learning and computer vision. A comprehensive guide for researchers and developers.
Ambient Agents: The Next Frontier in Context-Aware AI
Discover how ambient agents are shaping the future of context-aware AI by enabling seamless, adaptive, and intelligent interactions.
How to Use MCP with OpenAI Agents
Learn how to use the Model Context Protocol with OpenAI Agents to increase tool integration, streamline workflows, and build capable AI systems.
Deep Learning Architectures Explained: ResNet, InceptionV3, SqueezeNet
Understand the basics of ResNet, InceptionV3, and SqueezeNet architecture and how they power deep learning models. Learn their architectures, key features, and how they improve accuracy and efficiency.
How to Train YOLO v5 on a Custom Dataset | the cloud provider
Learn how to train YOLOv5 on a custom dataset with this step-by-step guide. Discover data preparation, model training, hyperparameter tuning, and best practices for object detection.
