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Regression with Keras (Deep Learning with Keras – Part 3)

Regression After two introductory tutorials, its time to build our first neural network! The network we are building solves...

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.

Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

21 Free Data Sets/ Projects for Data Science Beginners

We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails: 

Deep Learning with Keras Tutorial – Part 1

About this series This post is the first part of Deep Learning with Keras series. This series aims to introduce...

Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in...

Hierarchical clustering using R

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that clusters similar data points into groups called clusters. The endpoint is a...

Data Pre-processing for Deep Learning models (Deep Learning with Keras – Part 2)

Link to Part 1. Dealing with Data Motivation Training deep...

Classify Handwritten-Digits With Tensorflow

One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning...