Deep Learning Pancreas Segmentation using Attention U-Net [with code] In this article, we are going to walk through a smart way to reduce the computation power needed for an biomedical image analysis which is attention and its use in computer vision tasks. We solve the problem of Pancreas Segmentation using Attention U-Net and implement it in Python using TensorFlow.
Deep Learning Pneumonia Detection on Chest X-Rays with Deep Learning [DL Project] In this article, we have developed a Deep Learning model to detect Pneumonia from Chest X-Rays and get a performance similar to a Radiologist. This is a good project for Deep Learning Engineer Portfolio.
Machine Learning (ML) 30+ Computer Vision Projects In this article, we will explore over 30 Computer Vision (CV) projects that will help boost your portfolio. We will discuss in brief each project along with the models used, datasets used, project domain, codebase and research paper.
Deep Learning Techniques to detect Deepfake videos Hello everyone, Today we are going to discuss one of the most morally sensitive subject in Artificial Intelligence world which are DeepFake and how we try to detect the deep fake from real.
Deep Learning GPT-3.5 model architecture GPT-3.5 model is a fined-tuned version of the GPT3 (Generative Pre-Trained Transformer) model. GPT-3.5 was developed in January 2022 and has 3 variants each with 1.3B, 6B and 175B parameters. The main feature of GPT-3.5 was to eliminate toxic output to a certain extend.
Deep Learning Self-attention in Transformer Today we will discuss one of the revolutionary concepts in the artificial intelligence sector not only in Natural Language Processing but also nowadays in the Computer Vision, which is the Transformers and the heart of it Self-Attention.
Python 2D Convolution in Python In this article, we will understand the concept of 2D Convolution and implement it using different approaches in Python Programming Language.
Deep Learning Single Image Super Resolution We will explain to you about a very important and strong application in image processing and of course in Machine Learning which is "Single Image Super Resolution". We have listed different model architectures, datasets and research papers for this application (Single Image Super Resolution).
Deep Learning Instance Segmentation In this article, we will dive deeper in a very important concept in computer vision which considered a great progress in deep learning field which is Instance Segmentation. what is it?, the most popular algorithm for it, and its evaluation metric.
Deep Learning Downsampling and Upsampling in CNN There is no doubt that convolution neural network gave a huge progress to computer vision sector and in this article I will walk with you in short journey with some of its concepts specially downsampling and upsampling in CNN.
Machine Learning (ML) Panoptic quality (PQ), segmentation quality (SQ) and recognition quality (RQ) In this article, we will dive deeper in evaluation metrics for computer vision tasks especially for Panoptic segmentation namely Panoptic quality (PQ), segmentation quality (SQ) and recognition quality (RQ).
Deep Learning Distilled-GPT2 model In this article we will talk about a very popular model that was a revolution in the natural language processing sector that provide more fast and more accurate results than anything provide before, we will take you to a journey with Distilled-GPT2 model.
Machine Learning (ML) Evaluation metrics for object detection and segmentation In this article, we will go through the Evaluation metrics for Object Detection and Segmentation that is Image segmentation, semantic segmentation and instance segmentation in depth.
Machine Learning (ML) Backpropagation vs Gradient Descent Hello everybody, I'll illustrate in this article two important concepts in our journey of neural networks and deep learning. Welcome to Backpropagation and Gradient Descent tutorial and the differences between the two.
