Logistic Regression With A Real-World Example in Python

In this tutorial, You’ll learn Logistic Regression. Here you’ll know what exactly is Logistic Regression and you'll also see an Example...

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.

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...

Regression using Tensorflow and partition of data for robust validation.

Again in the tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training, Testing,...

The Main Aspects Of TensorFlow (Machine Learning)

TensorFlow is a machine learning framework that's completely changing the industry. If you are a developer and you are interested in learning more about...

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...

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....

Jump headfirst into the machine learning

At present, the technology is evolving with focused on convenience; machines are being designed in a way that they can communicate with human beings...

Deep Learning with Keras – Part 5: Convolutional Neural Networks

Motivation In the previous articles, we solved problems with numeric and categorical data, and we learned the different transformations...

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by...
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