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,...

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...

Deep Learning with Keras – Part 4: Classification

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

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...

How to Connect Google Colab with Google Drive

In this tutorial, you’ll learn how to connect your Google Colab with Google Drive to build some Deep Learning model on Google...

Azure Machine Learning: The Future of Machine Learning in the Cloud

Microsoft Azure is a Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) solution created by Microsoft. Well, these days almost every next person...

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

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

Introduction to Image Classification using Pytorch to Classify FashionMNIST Dataset

In this blog post, we will discuss how to build a Convolution Neural Network that can classify Fashion MNIST data using Pytorch on Google Colaboratory. The way we do that is, first we will download the data using Pytorch DataLoader class and then we will use LeNet-5 architecture to build our model. Finally, we will train our model on GPU and evaluate it on the test data.

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...

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...
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