Home
  • About Me
  • Projects
  • Contact
Navbar avatar

Leo M. Rocha


Dedicated to Data Engineering, AI and ML

Flexible Universal Character Level Encoding methods for Text in NLP (FlexCodes)

A Study of Multiple Encoding Techniques for Low Resource Consumption Character Level Embeddings for NLP Tasks¶

Posted on November 8, 2022

Introduction [Read More]
Tags: Encodings Embeddings NLP

Scalar Representations in Neural Models and its Applications to Artificial Neural Networks

A summary of key concepts

Posted on January 15, 2021

One of the subjects I have passion about is the development of Intelligence, be it looking at how a baby learns, studying about Machine Learning (either new or old papers), psychology or neuroscience I like to keep up to date [Read More]
Tags: AI Neural Representation

MIDI Encoding Input Domain Study

Analysing the MIDI domain to create a compressed input domain and avoid one-hot encoding

Posted on January 10, 2021

Introduction [Read More]
Tags: Encodings Embeddings MIDI NLP

Exploring Image Autoencoders

Trying different architectures

Posted on January 6, 2021

Introduction [Read More]
Tags: Computer Vision Image Autoencoders

Playing with MNIST

Trying different architectures

Posted on January 2, 2021

Introduction MNIST is a popular Computer Vision dataset that with today’s technology is already solved, nevertheless is a nice dataset to play with and is still popular for teaching and tutorials. [Read More]
Tags: datasets CV MNIST
  • Older Posts →
  • RSS
  • GitHub
  • LinkedIn

Leo M. Rocha  •  2022

Theme based on beautiful-jekyll