Piyush Mishra - OpenGenus IQ: Computing Expertise & Legacy

Convolutional Neural Networks (CNN)

Convolutional Neural Network (CNN) is an neural network which extracts or identifies a feature in a particular image and is the basis of GoogleNet and VGG19 and used for object detection and classification. CNN has five basic components Convolution, ReLU, Pooling, Flattening and Full connection.

Machine Learning (ML)

Building a Convolution Neural Network (CNN) for handwritten digit recognition in Python using Keras

We built a Convolution Neural Network (CNN) for handwritten digit recognition from scratch in python. We will be using Keras API with TensorFlow backend and use handwritten digits dataset from Kaggle.

bitwise operation

Bitwise Algorithm to Find the Number Occurring with Odd Frequency

We have explored the bitwise algorithm to find the only number occuring odd number of times in a given set of numbers. We have used the XOR operator to solve this problem in O(N) time complexity in contrast to the native algorithm which takes O(N^2) time complexity. The space complexity is constant.

Machine Learning (ML)

Artificial Neural Networks

An Artificial Neural Network is a form of computing system that vaguely resembles the biological nervous system. It is composed of very many neurons that are centres of computation and learn by a sort of hit and trial method over the course of many epochs. ANN can be seen as a network of perceptrons

Machine Learning (ML)

Restricted Boltzmann Machines

Boltzmann Machines are bidirectionally connected networks of stochastic processing units. It can be used to learn important aspects of an unknown probability distribution based on samples from the distribution. We explore Gibbs Sampling and Contrastive Divergence.

Machine Learning (ML)

Perceptron, the building block of modern AI

A perceptron is an artificial neuron that essentially receives input from an input layer, processes the input with the help of an activation function (the Heaviside step function) and gives out the output in the form of either a 0 or 1. The perceptron was invented in 1957 by Frank Rosenblatt