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 are Unsupervised Multitask Learners” or GPT-2. As a recap. GPT-2 is a language model based on the transformer architecture with Continue Reading

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. Let us first revise, what are autoencoders?  Autoencoders are neural networks that attempt to mimic its input as closely as Continue Reading

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 how semantic segmentation is applied to real-world data. In polyp segmentation, the images with polyp are given to a trained Continue Reading