• 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...

  • Fun with Machine Learning : Building a Sudoku Solver

    Knowledge of machine learning is not only a geek thing. It can be fun too if you are taking some simple, yet interesting problems like solving a Sudoku puzzle. So, in this post, we will be implementing a CNN based deep learning network for solving a sudoku puzzle. We will...

  • 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...

  • Configuring GPU on OCI instance and run Jupyter Notebook

    In this blog, we will go through the steps required for configuring GPU on Oracle Cloud Instance. Assuming that you have a private key for your instance named like privateKey.bsdcsce . We will start by logging in the system. On the terminal type the following command: $ chmod 500 privateKey.bdcsce...

  • Visualising a Keras Model in Tensorboard

    In this blog, we will be visualising a Keras deep learning model in Tensorboard. Tensorboard is a very nice platform provided by Google to visualise our machine learning models in the forms of graphs. We can visualise the model structure, metric graphs and many other things in a cool way...

  • Hierarchical Text Classification in Tf.Keras

    In this blog, we will learn to perform hierarchical text classification on a dataset. The dataset contains mainly three columns: text headline, text description which will be a paragraph and finally the text label. We will be creating a deep learning model in Keras on TensorFlow backend. The model diagram...

  • Using CyberDuck 🦆

    Many often, we come across scenarios when we need to work on a remote system. Dealing with files through command lines is sometimes a pain for some especially in MacBooks. I recently came to know about a software which provides a better if not the best solution for the problem....

  • Convolutional Neural Networks for NLP

    In this blog, we will be implementing a convolutional neural network-based deep learning model for text classification. Before jumping into the coding part, let us understand our approach briefly. We will be using 1-D convolution which operates as shown in the diagram below: In the example, we can see that...