In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type […]
Month: February 2023
Nikhil Tomar
Attention UNET and its Implementation in TensorFlow
In the article, we will go through the paper Attention U-Net: Learning Where to Look for the Pancreas. It was written by Ozan Oktay et. […]
Logistic Regression in TensorFlow
Logistic Regression is a popular machine-learning algorithm that is used for classification tasks. In this tutorial, we will learn how to implement Logistic Regression in […]
DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras
In today’s tutorial, we will be looking at the DeepLabV3+ (ResNet50) architecture implementation in TensorFlow using Keras high-level API. Within this architecture, ResNet50 would be […]
Image Segmentation-based Background Removal in TensorFlow
Image segmentation is an important area of computer vision that involves dividing an image into multiple segments, each of which corresponds to a different object. […]
Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization […]
Large File Transfer using TCP Socket in Python
File transfer has been one of many tasks in socket programming. In this article, we will discuss how to transfer large files using TCP sockets […]
What is MultiResUNET?
MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and […]
What is Intersection over Union (IoU) in Object Detection?
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the […]
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we […]