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Mimicking Biological Neural Network | Artificial Neurons and Biological...
Although a present day artificial neural network resembles the biological neural network/human brain much as a paper plane resembles a supersonic jet, although, ANN...
Why does gradient descent take the negative gradient?
In machine learning, gradient descent is the algorithm we use to tweat a model's parameters like weights in a neural network. Gradient descent is an optimization...
Activation functions in a deep neural networks
This activation function prevents collapsing because it adds a extra bit of processing before transfering the output of a neuron. Let's say we have an...
Getting a Handle on Vector for Machine Learning
The word vector comes from the Latin for “carrier”, reason might be the nature of vector to move from one location to another. In physics, a Vector is an object that...
Building a Currency Converter using OpenExchangeRates API and requests
Converting Currency in google is no fun and no brainer. Explore the power of programming by building our own Currency Converter.
Identification of Rice Leaf Diseases using Deep Convolutional Neural Networks
In Nepal, increased rice production is closely related not just with the national economic health but also with less hunger, better nutrition, lower levels of poverty...
Simple time-of-day TCP Client-Server model example using sockets in C
In a client-server model, a server is an application program that offers a service over a network. The server's code runs first, which opens a port and accepts an...
Simple Linear Regression Tutorial
Linear Regression attempts to model the relationship between two variables by fitting a linear equation to observed data
K-Nearest Neighbour Algorithm for Image Classification
KNN algorithm assumes that similar things are near to each other. In KNN we select a number of neighbors of the things we're are interested in and based on the...
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