Using Simple Bijectors to Transform Distributions using TensorFlow — What you can expect to learn/review from this post — Getting started with TransformedDistribution module (within TensorFlow Probability library) to transform a base distribution via a bijection operation. Writing our own custom bijection function in TensorFlow. How to define the forward and inverse transformation within a custom bijection function?

Change of Variables Rule, Bijection & Diffeomorphism — The basis of generative modelling is to understand the distribution from where the data samples came from. In one of my previous posts, an example of generative modelling was demonstrated by going through the steps of the Expectation-Maximization algorithm, where we assumed that latent variables give rise to the expected…

Weather Data; Aleatoric & Epistemic Uncertainty — Performances of Deep Neural Networks (DNNs) rely on the ability to progressively build and extract features from large data. Though these deep models are usually adaptive the performance depends on the data distribution. The robustness property is important in various applications such as computer vision tasks, eg. autonomous driving, because…

Finding Prime Factors of Integer using Quantum Computer — We all have possibly read stories and news about the encryption schemes to protect our credit cards, confidential files will be broken by the advancement of quantum computing technology in recent years. Here’s another recent Nature article (from this year, February) about it and how we can safeguard our privacy…

Self-Attention Mechanism and Goodbye Convolution! — When Transformer Network came out, initially it became the go to model for NLP tasks. ‘An Image is Worth 16X16 Words’ which was presented in International Conference for Representation Learning (ICLR) 2021, by Alex Dosovitskiy et.al. showed for the first time how Transformer can be implemented for Computer Vision tasks…

Determine Phase of an Eigenvector of a Unitary Operator — Quantum Phase Estimation (QPE) is an algorithm that’s used to estimate the phase (or eigenvalue) of an eigenvector of a unitary operator. Since this post will use many important concepts discussed in the Quantum Fourier Transform post, please check it for a review. …

Probability, Likelihood and TensorFlow Probability Library — Both Naive Bayes and Logistic Regression are quite commonly used classifiers and in this post, we will try to find and understand the connection between these classifiers. We will also go through an example using Palmer Penguin Dataset which is available under CC-0 license. …

Did Ray Bradbury Foresee What’s Coming? — Sunday mornings are quite serene; morning coffee, surfing news for short time, then going out for a stroll around the neighbourhood with my cat. Sunday, 1st August 2021 was a bit different. …

Deal with Class Imbalance and Use Pre-Trained Model Effectively — In the past few years, we have seen a rapid increase in using Deep Learning for medical diagnosis in various forms, specially in the analysis of medical images. Here we will set up a pipeline to classify chest x-ray images of patients with and without pneumonia. The complete dataset is…