Parsing mathematical equation to generate computation graphs - First step from software 1.0 to 2.0 in go

In a previous article, I described an implementation of an RNN from scratch in go. The target is to use the RNN as a processing unit. The ultimate goal is to create a portable tool cross platform and able to grab and process data where they are. I have many applications in mind such as finding the root-cause of an incident or managing the capacity of an infrastructure. Note I stick to the Go language for many reasons: Some of them a personnal and not opposable (I simply like it).

About Recurrent Neural Network, Shakespeare and GO

Shakespeare and I, encounter of the third type A couple of months ago, I attended the Google Cloud Next 17 event in London. Among the talks about SRE, and keynotes, I had the chance to listen to Martin Gorner’s excellent introduction: TensorFlow and Deep Learning without a PhD, Part 2. If you don’t want to look at the video, here is a quick summary: a 100 of lines of python are reading all Shakespeare’s plays; it learns his style, and then generates a brand new play from scratch.

Terraform is hip... Introducing Nhite

In a previous post, I did some experiments with gRPC, protocol buffer and Terraform. The idea was to transform the “Terraform” cli tool into a micro-service thanks to gRPC. This post is the second part of the experiment. I will go deeper in the code and see if it is possible to create a brand new utility, without hacking Terraform. The idea is to import some packages that compose the binary and create my own service based on gRPC.

From command line tools to microservices - The example of Hashicorp tools (terraform) and gRPC

This post is a little different from the last ones. As usual, the introduction tries to be open, but it quickly goes deeper into a go implementation. Some explanations may be tricky from time to times and therefore not very clear. As usual, do not hesitate to send me any comment via this blog or via twitter @owulveryck. TL;DR: This is a step-by-step example that turns a golang cli utility into a webservice powered by gRPC and protobuf.

A "Smart" CCTV with Tensorflow, and Inception? On a rapsberry pi?

Imagine a CCTV at home that would trigger an alert when it detects a movement. Ok, this is easy. Imagine a CCTV that would trigger an alert when it detects a human (and not the cat). A little bit trickier. Now imagine a CCTV that would trigger an alert when it sees someone who is not from the family… Disclaimer: This article will not cover everything. I may post a second article later (or not).