‘Latent’, originated from Latin which means being hidden. Probably you have all known about latent heat, which is the heat energy required for phase transformation keeping the temperature constant. So we observe a change, but the reason behind it is apparently hidden. The motivation for Latent Variable Model (LVM) is…
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. …
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. …
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…
Cassava is widely cultivated as an annual crop and it is one of the major source of carbohydrates and food, specially in Sub-Saharan Africa. But, Cassava crops are quite vulnerable to various diseases, which threaten to destabilize food security in a large region. Here, we would like to use deep…
A standard formula for describing any bird’s egg in nature is here, and the research report is published recently in the Annals of the New York Academy of Sciences. Eggs are in a sense representation of perfect shape considering the evolution process because they are optimized to cover an embryo…
While training a neural network, it is quite common to use ImageDataGenerator class to generate batches of tensor image data with real-time data augmentation. However, in this post, I will discuss tf.data API, using which we can build a faster input data pipeline with reusable pieces. …
After covering the Deutsch-Jozsa algorithm and Grover’s algorithm, today we will focus on Quantum Fourier Transform. The main concept that we would develop here is to use a quantum computer to develop an analog of Discrete Fourier Transform (DFT). DFT is important in digital signal processing and allows us to…
Wouldn’t it be arrogant enough from my side to assume that you would like what I have liked? Probably! Then I remember one of the quotes from the chapter —
The other side of the globe is but the home of our correspondent.
After Deutsch-Jozsa algorithm, we will discuss Grover’s algorithm through which it was shown that Quantum Computers (QCs) can be substantially faster for searching databases than classical computers. The task that Grover’s algorithm aims to solve can be expressed as follows: given a classical function f(x):{0,1}ⁿ→{0,1}, where n is the bit-size…
PhD, Astrophysics. Using Deep Learning, Searching Dark Matter! https://www.linkedin.com/in/saptashwa
