Jan 29 · 7 min read · A while ago, I authored an article Implementing ResNet CNN that provided a detailed explanation of ResNet Convolutional Neural Networks (CNN) along with an implementation using TensorFlow. In this upcoming article, we will take a closer look at ResNe...
Join discussion
Jan 27 · 5 min read · A convolutional neural network (CNN) is an advanced deep learning architecture designed for the identification and classification of images. In addition to image recognition, CNNs are utilized for object detection within images, audio classification,...
Join discussion
Dec 17, 2025 · 4 min read · Deeksha Gupta Abstract Handwritten Optical Character Recognition (OCR) remains a challenging problem due to variations in handwriting styles, noise in scanned documents, and context ambiguity. This article presents a modern approach combining Large ...
Join discussionAug 24, 2025 · 8 min read · The motivation behind Convolutional Neural Networks (CNNs) comes from the inability of traditional dense neural networks to perform well on image classification tasks. Why is that? A dense network, also known as a fully-connected network, treats an i...
Join discussion
Aug 24, 2025 · 6 min read · Introduction As we delve deeper into machine learning, we encounter tasks that require machines not just to make decisions, but to “see.” This is where Convolutional Neural Networks (CNNs) come into play, a specialized subset of deep learning models ...
Join discussionJul 27, 2025 · 14 min read · My Previous article “ convolutional neural network **“**explained about the architecture of CNN and how it works. Another article “Implementing CNN using TensorFlow” showed how to implement CNN using TensorFlow. In this article, we will explore the p...
Join discussion
Apr 19, 2025 · 8 min read · Introduction In the world of artificial intelligence, computer vision and image classification are one of the most widely used applications, allowing machines to identify and categorize images based on visual features. From autonomous vehicles recogn...
Join discussion
Apr 16, 2025 · 2 min read · Introduction In the realm of smart agriculture, real-time monitoring of livestock behaviour is pivotal for ensuring animal welfare and optimizing farm management. Traditional methods, relying heavily on manual observation, are time-consuming and pron...
Join discussion