UNET Segmentation with Pretrained MobileNetV2 as Encoder
In this tutorial, we are going to work on UNet segmentation and use it for biomedical image segmentation tasks. This time we are going to use pre-trained MobileNetV2 as the...
An Introduction to Scraping Images With Python
The Internet is a rich source of data and information in the world that is easy to acquire. This data includes images, PDF, text, audio, and video. To acquire the...
OpenAI GPT-3: The successor of OpenAI GPT-2
The research lab OpenAI has released a preprint arXiv paper, titled "Language Models are Few-Shot Learners" or OpenAI GPT-3, which is a continuation of their previous work entitled "Language Models...
Building Convolutional Autoencoder using TensorFlow 2.0
We are going to continue our journey on the autoencoders. In this article, we are going to build a convolutional autoencoder using the convolutional neural network (CNN) in TensorFlow 2.0....
Introduction to Autoencoders
In today's article, we are going to discuss a neural network architecture called autoencoders. This article is aimed at Machine Learning and Deep Learning beginners who are interested in getting...
Polyp Segmentation using UNET in TensorFlow 2.0
In this tutorial, we will learn about how to perform polyp segmentation using deep learning, UNet architecture, OpenCV, and other libraries. We will use a polyp segmentation dataset to understand...
File Transfer using TCP Socket in C
In this tutorial, you will learn how to perform a file (data) transfer over a TCP socket in C programming language. You will see how a client reads the data...
Review: One Model To Learn Them All
Recent advancement in the field of deep learning has enabled us to develop models that yield impressive results across various fields, from image classification, object detection, to speech recognition. However,...
What is Data Augmentation?
Data augmentation is a process that enables you to increase the amount of training data by making reasonable modifications in your existing data. It helps you to increase the diversity...
Unet Segmentation in TensorFlow
In recent years deep learning is a huge success in the world of computer vision, making deep learning the new tool in the digital image analysis. It has made computers understand the visual data much better than ever before. In this article, I’ll go into details about one specific task in computer vision: Semantic Segmentation using the UNET Architecture.