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Along with several of my endjin colleagues, I attended NDC London in January this year – here’s a run through of the sessions I attended on Day 3 and my thoughts. This final day was a mixed bag, taking in talks on drumming and AKKA.net, as well as something a bit more close to home – a session from endjin’s own Jess Panni and Carmel Eve on our recent project for OceanMind.


Along with several of my endjin colleagues, I attended NDC London in January this year – here’s a run through of the sessions I attended on Day 2 and my thoughts. This day was UI heavy, with sessions on Vuejs and UI testing, but I also learned more about GraphQL and writing high performance C# code.


A retrospective of my first day at NDC London 2020, taking in sessions on AI and Machine Learning, Capability Mapping, Micro Frontends, Diagnostics and Blazor.


Machine learning often seems like a black box. This post walks through what’s actually happening under the covers, in an attempt to de-mystify the process!

Neural networks are built up of neurons. In a shallow neural network we have an input layer, a “hidden” layer of neurons, and an output layer. For deep learning, there is simply more hidden layers which allows for combining neuron’s inputs and outputs to build up a more detailed picture.

If you have an interest in Machine Learning and what is really happening, definitely give this a read (WARNING: Some algebra ahead…)!