tech

Keras: multi-label classification with ImageDataGenerator

31 Jan 2019 by Rodrigo Agundez / tech

Multi-label classification is a useful functionality of deep neural networks. I recently added this functionality into Keras' ImageDataGenerator in order to train on data that does not fit into memory. This blog post shows the functionality and runs over a complete example using the VOC2012 dataset.

Big Data Expo 2018: Deep Learning, the Engine of the AI Revolution

05 Oct 2018 by Rodrigo Agundez / tech

We all remember the boom of Internet companies in the late 90s, then in the late 2000s mobile companies took center stage and have been dominating ever since. A new type is taken the spotlight, this is the era of AI companies, and like it has been before there are two options: adapt or fade away.

Spark Summit + AI 2018

07 Jun 2018 by Rodrigo Agundez / tech

This week I was at the Spark+AI Summit 2018 conference in San Francisco. This post is a summary of my experience and highlights of the talks I attended.

Elitist shuffle for recommendation systems

13 May 2018 by Rodrigo Agundez / tech

In today's high pace user experience it is expected that new recommended items appear every time the user opens the application, but what to do if your recommendation system runs every hour or every day? I give a solution that you can plug & play without having to re-engineer your recommendation system.

How Deep Learning Will Change Customer Experience

07 May 2018 by Rodrigo Agundez / tech

Co-author of article written by Ronald van Loon about the impact of Deep Learning on the customer experience

Multi-threshold Neuron Model

09 Mar 2018 by Rodrigo Agundez / tech

Inspired by a new biological scientific research, I propose, build and train a Deep Neural Network using a novel neuron model.

"I Pity the fool", Deep Learning style

05 Nov 2017 by Rodrigo Agundez / tech

With deep learning applications blossoming, it is important to understand what makes these models tick. Here I demonstrate, using simple and reproducible examples, how and why deep neural networks can be easily fooled. I also discuss potential solutions.

Machine Learning Application Skeleton

23 Aug 2017 by Rodrigo Agundez / tech

The need of the business to interact and understand the output from custom built machine learning models is increasing, here I provide an application skeleton to do just that with your Python made models.

Facebook's Prophet: Forecasting Stores Transactions

25 Feb 2017 by Rodrigo Agundez / tech

Quick look into the Prophet API for predicting the number of transactions in a shop.