I’ve just made some exploration on a dataset provided by Kaggle for SMS Spams Detection. I’ve managed to get a loss of 0.1 on the testing set… Read more “[Kaggle] SMS Spam Collection”

# Category: Machine Learning

## Feedback Sequence-to-Sequence Model – Gonna Reverse Them All!

This tutorial assumes that you have a pretty good understanding about the basics of Recursive Neural Networks and Backpropagation Through Time (BPTT) and how these models actually… Read more “Feedback Sequence-to-Sequence Model – Gonna Reverse Them All!”

## [Thesis Tutorials II] Understanding Word2vec for Word Embedding II

Previously, we talked about Word2vec model and its Skip-gram and Continuous Bag of Words (CBOW) neural networks. Regularly, when we train any of Word2vec models, we need… Read more “[Thesis Tutorials II] Understanding Word2vec for Word Embedding II”

## [Thesis Tutorials I] Understanding Word2vec for Word Embedding I

Vector Space Models (VSMs): A conceptual term in Natural Language Processing. It represents words as set of vectors, these vectors are considered to be the new identifiers… Read more “[Thesis Tutorials I] Understanding Word2vec for Word Embedding I”

## Generative Adversarial Networks [2] – Camouflage your Predator!

You can imagine the situation by learning without any prior knowledge about something, you just do mistakes and you let others correct them to you. Continuing this… Read more “Generative Adversarial Networks [2] – Camouflage your Predator!”

## Overview: Generative Adversarial Networks – When Deep Learning Meets Game Theory

Before going into the main topic of this article, which is about a new neural network model architecture called Generative Adversarial Networks (GANs), we need to illustrate… Read more “Overview: Generative Adversarial Networks – When Deep Learning Meets Game Theory”

## Another LSTM Tutorial

The figures are taken from this great blog post by Christopher Olah Recurrent Neural Networks Recurrent Neural Networks (RNN) is a type of Neural Networks (NN) that is… Read more “Another LSTM Tutorial”

## [Java] Hopfield Network Implementation

Why Java? Well, actually I have a deep love with this language, I enjoy my time writing a Java code. Also, it is good for me to… Read more “[Java] Hopfield Network Implementation”

## [Python] U-V Decomposition using Swarm Optimization

Recently, I have implemented U-V decomposition technique for Recommendation Systems using Particle Swarm Optimization. U-V decomposition is an optimization problem for a matrix. Here, our matrix elements… Read more “[Python] U-V Decomposition using Swarm Optimization”

## Hidden Markov Models (HMMs) Part I

Agenda: Markov Chains – Structure – 1st Order Markov Chains – Higher Order Markov Chains Hidden Markov Model – Structure – Why using HMMs ? Forward-backward algorithm Viterbi algorithm (Part II)… Read more “Hidden Markov Models (HMMs) Part I”