Reading Time: 10 minutesLink to Jupyter Notebook Setting the stage Amazon SageMaker is a very popular service within the AWS ML suite, offering… Read More »Is it a thriller? Inferring movie genre from its poster in AWS SageMaker
Reading Time: 9 minutesNote: code is provided at the end of the post A couple of weeks ago I challenged myself to build… Read More »Video Classification Experiments: combining Image with Audio features
Reading Time: 24 minutesNotes The code (functions, classes etc) I refer to, in this post, comes from this notebook, which I put together during along with deep dive on SSD Ground Truth Bounding… Read More »fast.ai DL2 Lesson 9: Single Shot Detection detailed walkthrough
Reading Time: 12 minutesThis is a classic. Yet, if you have never tried to implement it yourself, you never know how it looks… Read More »Can Amazon Comprehend catch IMDb reviews sentiment? End-to-end Serverless Analytics Solution on AWS!
Reading Time: 8 minutesLink to Jupyter notebook In this post, I will go over a fascinating technique known as Style Transfer. At the… Read More »Style Transfer with fast.ai and PyTorch
Reading Time: 7 minutesHad you asked me to explain the output of a Random Forest model six months ago, without thinking twice, I would… Read More »Why is that house so expensive? Ask a Random Forest!
Reading Time: 3 minuteshi , I would like I am doing at for this amazing experience and ask one reason 6 months in… Read More »Writing a Farewell Email to co-workers with Gluon
Reading Time: 5 minutesThe purpose of this post is to summarize (with code) three approaches to video classification I tested a couple of… Read More »Video Classification in Keras, a couple of approaches
Reading Time: 5 minutesI recently started looking into Part 2 of the fast.ai Deep Learning MOOC. I went through the first 2 lessons,… Read More »Detecting Pneumonia in chest radiographs with fast.ai
Reading Time: 5 minutesIn this post I wanted to review a list of common approaches to a standard NLP task. The goal I… Read More »Identify toxic online comments with scikit-learn and Gluon NLP