Reading Time: 10 minutesNote: folder with all relevant code. Disclaimer: This post doesn’t contain anything revolutionary. You can find top-notch (way better than… Read More »Deploying a Fashion-MNIST web app with Flask and Docker
Reading Time: 16 minutes[latexpage] Linear classifiers (Lesson 3) VS 2-layers-NN (Lesson 5): a visual viewpoint Linear models are arguably one of the simplest… Read More »DL for Computer Vision (Justin Johnson – University of Michigan): learning pills
Reading Time: 6 minutesIntroduction The purpose of this post is to isolate and understand the main layers constituting the MobileNetV3 (MNV3) architecture, released… Read More »A visual deep-dive into the building blocks of MobileNetV3
Reading Time: 7 minutesNote: Jupyter notebook with TabNet experiments on the PetFinder dataset. Original Tensorflow implementation of TabNet by Google. PyTorch version (which… Read More »Tabular Deep Leaning: TabNet deep-dive
Reading Time: 7 minutesNote: Jupyter notebooks can be found here. Introduction Last year Kaggle hosted a competition from PetFinder.my that challenged ML practitioners… Read More »PetFinder: a blend of Machine and Deep Learning approaches. CatBoost and MXNet in SageMaker Studio
Reading Time: 11 minutesNote: full Jupiter notebook here. Introduction I am writing this post to summarize my latest efforts in exploring the Computer… Read More »Plant Pathologies: fastai’s wonders in Computer Vision
Reading Time: 7 minutesNote: notebook, dataset and AWS CloudFormation template. Introduction At the time of writing, I have the honor of attending the… Read More »Detecting machine VS human-generated Wikipedia articles with fastai
Reading Time: 10 minutesNote: in this GitHub repo you can find 2 notebooks and a python script (COVID-19*) I created working on the… Read More »COVID-19: end-to-end analytics with AWS Glue, Athena and QuickSight
Reading Time: 2 minutesIntroduction I find the domain of interpretable ML incredibly fascinating. Being able to open a black box and understand why… Read More »Whitening a black box: how to interpret a ML model
Reading Time: 7 minutesLinks to code: repo and Jupyter Notebook. Lambda function. Disclaimer: this is a less technical post compared to previous ones.… Read More »Fast Neural Style Transfer: deploying PyTorch models to AWS Lambda