In this issue I’ll talk about some of my recent experiments building a simple text classification model (predict if a tweet is related to politics or not) and debugging/inspecting the model’s behaviour using gradients. Context — Understanding Election Discourse in Developing Countries 2019 Election Note: This project is still in development. Expected completion : ~06/01/2022. This project began on the premise that…victordibia.com

Hi everyone! Hope you are all doing well! In this newsletter issue, I’ll discuss some of my recent experiments with attempting to render beautiful, styled (custom themed) Jupyter notebooks in web pages. For context, I have written a few pedagogical notebooks and I wanted to explore ways to organize/integrate them…

Consider the following scenario — You write a comment “create a function that fetches all machine learning tweets and saves it to a file”, and a deep learning model generates a full python function that achieves this goal (see screenshot below). …

Across many business and practical use cases, we might want to automatically generate short, abbreviated versions of some long text. It turns out you can apply advances in modern (BERT based) neural networks in solving this task! …

In this issue of Thoughts on HCI + Applied AI, I’ll be discussing my top 10 insights from Google IO 2021 that border on Machine Learning and HCI/Design. Google IO is Google’s annual developer conference where they announce new products, projects and developer tools Interested in projects that explore building…

Explore CNNs applied to the task of semantic image search and view visualizations of patterns learned by pre-trained models. — For data scientists and engineers, it is fairly common to reuse features learned by pre-trained models (transfer learning). When this is done in practice, several questions arise - what model architecture do I use? Do I use the entire model or a subset of the model? What patterns do layers…

Handtrack.js library allows you track a user’s hand (bounding box) from an image in any orientation, in 3 lines of code.

Was it easy? How much data is needed? Does data quality affect results? What did the GAN learn? — In August 2018, I had the opportunity to attend the 2018 Deep Learning Indaba where Google generously provided access to TPUs (v2) to all participants! I finally came around to spending some time getting familiar with running ML experiments on TPUs and started out with training a GAN to generate…

Perhaps the best deep learning meeting I have attended. Heres why. Some months ago, I decided to build more experience in core AI and explore its applications in my research domain (HCI). …