Stokastik

Machine Learning, AI and Programming

Tag: Neural Network

Understanding Variational AutoEncoders

This post is motivated from trying to find better unsupervised vector representations for questions pertaining to the queries from customers to our agents. Earlier, in a series of posts, we have seen how to design and implement a clustering framework for customer questions, so that we can efficiently find the most appropriate answer and at the same time find out most similar questions to recommend to the customer.

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Building a Neural Network from scratch in Python

In this post I am going to build an artificial neural network from scratch. Although there exists a lot of advanced neural network libraries written using a variety of programming languages, the idea is not to re-invent the wheel but to understand what are the components required to make a workable neural network. A full-fledged industrial scale neural network might require a lot of research and experimentation with the dataset. Building a simple […]

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