Data Augmentation for Bounding Boxes: Rotation and Shearing
This article will cover how to implement rotation and shear images and bounding boxes using OpenCV’s affine transformation features.
Understanding Adversarial Attacks Using Fast Gradient Sign Method
In this tutorial, we use Gradio to examine adversarial attacks and their potential for misdirecting models towards making inaccurate predictions.
How to Build AI Agents with Ruby
Learn how to build AI agents using Ruby in this guide. Explore tools, code examples, and tips to create intelligent, automated Ruby applications.
LangChain Explained: The Ultimate Framework for Building LLM Applications
Discover how LangChain simplifies building powerful LLM applications with tools, chains, and agents. Learn its core components, use cases, and integration tips.
Building Intelligence: Neural Network Basics
Learn how neural networks work with this step-by-step guide. Understand key components, types, and training to build intelligent AI systems from scratch.
PyTorch vs TensorFlow: Which Deep Learning Framework is Better in 2025
Compare PyTorch and TensorFlow to find the best deep learning framework. Explore differences in performance, ease of use, scalability, and real-world applications.
Weather forecast using LSTM networks
In this post, we presented the LSTM subclass and used it to construct a weather forecasting model. We proved its effectiveness as a subgroup of RNNs designed to detect patterns in data sequences, including numerical time series data.
Image Compression Using Autoencoders in Keras
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.
Why Data Augmentation Is Key for Vision, Language, and Audio AI
Explore data augmentation techniques that improve accuracy, robustness, and generalization in vision, language, and audio models.
Faster R-CNN Explained for Object Detection Tasks
Learn how Faster R-CNN works for object detection tasks with its region proposal network and end-to-end architecture.
