Programming languages for Machine learning : Julia

From C++ to C-- we have more than 250 programming languages but which one is best suited for machine learning? There’s plenty of articles...

Deep Learning with Keras – Part 4: Classification

Classification Introduction Welcome to Part 3 of Deep Learning with Keras. The goal of this...

Regression using Tensorflow and Gradient descent optimizer

Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for...

Deep Learning : Write your own Bible

An Application of Generative Adversarial Networks (GAN) If you are planning to start your own religion the first thigh you would need is a holy...

Eight Deep learning Software Libraries & Their Installation on Ubuntu

Among all other machine learning algorithms such as SVM, Decision tree, Genetic algorithms and others, Deep learning has been seen to acquire media attention....

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...

Programming languages for Machine learning : R

From C++ to C– we have (in 2018) more than 250 programming languages and many more will emerge but which one is best suited...

R k-means clustering and evaluation of the model

The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...

Regression using Tensorflow and multiple distinctive attributes

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into...

Building a Feedforward Neural Network using Pytorch NN Module

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These network of models are called feedforward because the information only...

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