• Reinforcement Learning : Deep Q Networks

    In the previous two blogs, I went through the basics of Q-learning, building a simple RL Agent using q-table and creating a custom environment for our own use case. But as we keep making the environment bigger and complex, the q-table becomes bigger in size and this causes a scaling...

  • Reinforcement Learning : Creating a Custom Environment

    In the previous blog, I had gone through the training of an agent for a mountain car environment provided by gym library. But what if we need the training for an environment which is not in gym. Sometimes we will need to create our own environments. This blog is all...

  • Reinforcement Learning : Q Learning made Simple

    Recently, I started studying Reinforcement Learning and was fascinated by the potential it possesses. In this blog, we will have a quick discussion over the terms, Q-Learning and OpenAI gym library. Finally, we will be implementing a simple Q-Learning application on one of the gym environments. Let us start with...

  • Deploying a ML Model in Django

    While the trend in machine learning has grown so much nowadays, most of the data scientists are busy creating and training various machine learning models to solve different kinds of problems. How about having a nice web interface where we can deploy our model to visualise the task we have...

  • Visual Question Answering in Deep Learning

    As research in machine learning has advanced so far and so has this blog 😃, we will be discussing the topic of visual question answering in this blog. As the name suggests, we will be given an image as the knowledge domain and a text-based question will be asked. Based...

  • Unsupervised Image Segmentation

    So, Just adding to the regular "Learn and Share" blog thread, we will go through the topic of Unsupervised Image Segmentation in this blog. What is segmentation? So, what exactly is image segmentation? We will understand that through an image given below: As, you can see from the picture, segmentation...