Category: Tutorials

GoLang
Tutorials
Sougata P.

Introduction to GoLang Web Framework: Revel – Part 1

Revel is a high-productivity, extremely flexible web framework for the Go language which provides routing, parameter parsing, validation, session/flash, templating, caching, job running, a testing framework, and even internationalization and lots more. Revel provides the flexibility of custom Server, Session and Template engines. Here we will explain the steps to setup Revel development environment and build a sample REST webservice.

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GoLang
Tutorials
Sougata P.

GoLang Tutorials for Beginners | Step by Step Guideline | Value & Pointer Receiver Methods | Part 2

In GoLang, we have a way to by which we can achieve similar functionality like class and methods using Structs and associated methods. Though these methods are not defined within the struct rather they’re associated with the struct. We can either let these methods just access data via working as a copy of the struct which is called Value Receivers, or we can actually point through and modify the original struct which is called Pointer Receivers. In terms of performance, Pointer Receivers are more efficient as they don’t copy the whole struct again into the local scope. thus generating less garbage to cleanup.

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GoLang
Tutorials
Sougata P.

GoLang Tutorials for Beginners | Step by Step Guideline | Part 1

GoLang is an open-source programming language developed at Google by Robert Griesemer, Rob Pike and Ken Thompson. It’s statically typed, compiled programming language and syntactically similar to C, but with memory safety, garbage collection, structural typing, and CSP-style(Communicating Sequential Processes) concurrency. Now we will try to learn some basics so that we can get started with our journey with GoLang.

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Recurrent Neural Network
Shallow Neural Network
Sougata P.

How to convert a pre-trained Glove vector into Word2Vec format

We often need to convert pre-trained Glove Vectors into Word2Vec embedding format so that it can bee feed to any larger neural network e.g. LSTM, GRU, etc.

Here we will explain, how to convert pre-trained Glove vectors into Word2Vec format using Gensim implementation for the Word2Vec algorithm.

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