In this post, we cover the essential elements required for training Neural Networks for an image classification problem. We will still treat the internal network architecture as a black box so that we ...
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Tensorflow & Keras Tutorial: Linear Regression
Before studying deep neural networks, we will cover the fundamental components of a simple (linear) neural network. We'll begin with the topic of linear regression. Since linear regression can be ...
Getting Started with YOLOv5 Instance Segmentation
The YOLOv5 object detection models are well known for their excellent performance and optimized inference speed. Recently, the support for instance segmentation has also been added to the codebase. ...
DeepLabv3 & DeepLabv3+ The Ultimate PyTorch Guide
DeepLab models, first debuted in ICLR ‘14, are a series of deep learning architectures designed to tackle the problem of semantic segmentation. After making iterative refinements through the years, ...
Build an AI Fitness Trainer Using MediaPipe For Squat Analysis
This article aims to build an AI fitness trainer that can help you perform squats seamlessly, irrespective of whether you are a beginner or a pro. To achieve this task, we can harness the power of a ...
YOLOR – Paper Explanation & Inference – An In-Depth Analysis
In recent years, we have seen tremendous progress in the YOLO series, now hosting both anchor-free and anchor-based object detection models. Instead of focusing solely on architectural changes, YoloR ...
