Posted on

Forward and Back-Propagation Programming Technique/Steps to Train an Artificial Neural Net

This write-up is especially for those who want to try their hands at coding an Artificial Neural Net. How it is done mathematically doesn’t need an explanation from someone like me who is a programmer and not a scientist or a researcher. There are numerous training videos that you can go through and learn. I have gone through Prof Patrick Winston’s class as part of MIT OpenCourseWare and understood how the feed-forward and back-propagation technique works.

Through this article, I will explain the steps that you will need to follow to build a fully configurable ANN program (with N number of input features, N number of hidden layers, N number of neurons in each hidden layer, N number of output neurons). I would encourage to write your own custom program following the steps. As long as we adhere to the best practices of programming, test its efficiency, performance, we are good to go.

Posted on

Tips for How to Create an AI App for Your Business

We are entering the age of “Software 2.0,” where artificial neural networks (ANN) are already in use and appreciated by those who are from a development background. Even, there, however, technologies like artificial intelligence, deep learning, machine learning, and advanced analytics changing the way developers create intelligent software entities through computers and in collaboration with human intelligence.

Today all of the smartphones, smart TVs, cars, and video games use artificial intelligence. Like you can use Siri to give you directions to the nearest petrol pump. Tesla is using AI and big data to make the idea of self-driving vehicles into reality. According to a post published in Fortune, AI can now read our thoughts and convert them to images by interpreting brain signals.

Posted on

How to Make a Chatbot With AI

The world is slowly moving towards intelligent business systems that can make important decisions or perform vital actions on behalf of humans while offering a personalized experience. AI Chatbots are the latest rage in the current business technology scene ranging from e-commerce systems to hospitality management systems. The key advantages are anytime and anywhere interactions, which give the business global access to potential customers.

These intelligent software systems analyze previous conversations and study patterns using what is known as Artificial Neural Networks (ANN) to exhibit a more human-like response to queries. Some chatbots even flash the current user’s preferences based on previous conversations to give a more realistic touch to the interaction. Using a combination of Natural Language Processing (NLP), Vector Machines, Heuristics, and ANN, chatbots are designed to respond like intelligent humans.