## Text Recognition Using Google Cloud Vision API

You can readily use Google Cloud API to extract text from an image using Google Cloud Vision The steps are as follows: Step 1: …

## Using Numpy to Study Pauli Matrices

Numpy has a lot of built in functions for linear algebra which is useful to study Pauli matrices conveniently. Define Pauli matrices  \sigma_1 …

Natural Language Processing

## Rule Based Matching in Spacy

Rule based matching is a very useful feature in Spacy. It allows you to extract the information in a document using a pattern or …

Python

## Python Decorator

Python decorator is callable that take in a function and modify the behaviour of the function without explicitly modify the function code. Let us …

## Comparing Cross Entropy and KL Divergence Loss

Entropy is the number of bits required to transmit a randomly selected event from a probability distribution. A skewed distribution has a low entropy, whereas …

## Linear Regression with Gradient Descent and Python

Gradient Descent is the key optimization method used in machine learning. Understanding how gradient descent works without using API helps to gain a deep …

## Comparing Pre-trained ResNet and MobileNet

Resnet and Mobilenet are the popular pre-trained models for computer visions. Renet is more accurate, while Mobilenet is much smaller in size. In this …

## Network Compression with Depthwise Separable Convolution

One way to achieve network compression is using depthwise separable convolution. Depthwise separable convolution is used in many pre-trained neural networks such as MobileNet, …