Convolutional neural networks : CNN explanation and Implementation

Computer Vision, Deep Learning, Machine Learning, Neural Network

Convolutional neural network ( CNN ) is a type of neural network architecture specially made to deal with visual data. It is very much similar to ordinary ANNs , i.e they are made up of artificial neurons and have learnable parameters. In this article we will discuss the architecture of CNN and implement it on […]

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Data Visualization using Python’s MatplotLib Library

Data Science, Data Visualization

When it comes to the Data Science stream then Data Visualization is equally important with Data Analysis. Sometimes, we understand the data even better by looking it through plots and figures. And this way we can analyze it more effectively once we connect with it via the visual representation. This is not something which I’m […]

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Pandas Library for Data Manipulation

Data Analysis, Machine Learning

Data analysis is one of the most empowered part of Data Science, and when it comes to data analysis then Python’s Pandas Library just couldn’t be skipped.

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Introduction to Tensorflow – 2 : Building a Neural Network with Tensorflow

Neural Network, Platforms

In this article we will build a neural network in tensorflow to classify hand written digits. Tensorflow is an open source library by google, developed by google brain team and Neural network is the core algorithm behind deep learning .

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Python NumPy Package


Machine Learning

In this blog, we will be discussing some basic operations and techniques of NumPy package in Python. This concept is totally for beginners though some basic syntax knowledge of Python syntax would be great.

March 4, 2018

Linear Regression


Machine Learning

Linear Regression is a supervised learning algorithm used in regression tasks. In this post we’ll see what is regression and understand what linear regression is and how it works.We’ll also implement it with sklearn.

February 3, 2018

Transfer Learning


Artificial Intelligence

Transfer Learning is a very powerful idea in machine learning. In transfer learning we take knowledge , a neural network learned from one task and apply it to the other task. “Transfer learning will next driver of machine learning success” says Andrew Ng, at his famous NIPS 2016 tutorial

January 20, 2018