📜 33 JavaScript concepts every developer should know.
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:snowflake: a short introduction to node.js
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
📗 How to write cross-platform Node.js code
A module to teach you how to module.
- nodeschool
- npm
- javascript
:bulb: phong shading tutorial with glslify
A NodeSchool style workshopper for learning how to write native Node.js addons
Using custom vertex and fragment shaders in ThreeJS
An intro to some ES6 features via a set of self-guided workshops.
learn browserify with this educational adventure