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Having experienced the potential, power and promise of Recurrent Neural Networks in great details, we are now ready to face the most advanced technological breakthrough amidst non-recurrent, deep, multi-layered, feed-forward artificial neural networks that have been proven to be the most successful means of recognizing and analysing visual imagery. Welcome to the world of Convolutional… Read More


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Picking up form where we left off on our previous blog article, it is evident that, the fundamental feature of a Recurrent Neural Network (RNN) is that the network contains at least one feed-back connection, so the activations can flow round in a loop. That enable the networks to do temporal processing and learn sequences,… Read More


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As discussed on our last blog article, Recurrent Neural Networks take as their input not just the current input example they see, but also what they perceived one or more steps back in time. Those previous time steps provide context for the current time step’s data. So RNNs analyse a representation of the current data,… Read More


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A Recurrent Neural Network (RNN) is a class of Artificial Neural Networks, where connections between units form a directed graph along a sequence. The term “recurrent neural network” is used indiscriminately to refer to two broad classes of networks with a similar general structure, where one is finite impulse and the other is infinite impulse.… Read More


Feed Forward

A Feed Forward Neural Net is an artificial Neural Network wherein connections between the nodes always ensure that information always moves in the forward direction and never backwards. Being the first and simplest type of Artificial Neural Network devised in the history of computer science, it is very different from the more advanced neural networks… Read More


Neural Nets Deep Dive_large

As we discussed in our previous blog post, an Artificial Neural Network (ANN), usually called “neural nets” (NNs), is a learning algorithm that is inspired by Biological Neural Networks within our human brains and central nervous-systems. Modern day computations especially those involving Machine Learning for the sake of developing Artificial Intelligence are mostly structured in… Read More


Artificial Neural Networks  In Machine Learning

An Artificial Neural Network (ANN) is a computational algorithmic model. It is based on the structure of biological neural networks within human brains and aim to replicate their functions in order to augment human activities. It ideally aims to work in the way human brains processes information. It includes a large number of connected processing… Read More


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How can BIRD Empower Big Data to provide Business Intelligence & Enhance Business Efficiency? Develop new products and services The era of big data has created substantial opportunities for software products such as BIRD in helping global organizations develop products aligned with consumer demands in some of the following ways: To inform and guide new… Read More


BIG Data Flow

What is Big Data Analytics? Big-Data Analytics is the process of examining large and varied data sets that are too large to be stored or analysed within the framework of a single database or server, in order to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations… Read More


About ZenDesk  Zendesk is the leading provider of proven, cloud-based help desk software. For growing organizations, Zendesk is the fastest way to enable great customer service.  Zendesk can make your support team always feel on top of any given situation, even if customer changes his behavior pattern. Zendesk facilitates support team to effectively monitor their… Read More