homomorphic encryption in R
Homomorphic encryption is allows computations to be performed on encrypted data. This has enormous potential in areas of machine learning that deal with priv...
Posts by Category
homomorphic-encryption
neural-networks
rnn: a Recurrent Neural Network in R
Development
sigmoid package
The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.
Handcoding a Recurrent Neural Network
This is an example of how to build a Recurrent Neural Network in R.
Neural Network IV with Simulated Data
Some simulated data, borrowed from this post.
Neural Network Instrumental Variables
A simple example
learNN package
The learNN package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples....
Linear Model and Neural Network
In this short post I want to quickly demonstrate how the most basic neural network (no hidden layer) gives us the same results as the linear model.
Hand Coding Hilton’s Dropout
Andrew Trask wrote an amazing post at I am Trask called:
Hand Coding Gradient Descent
Andrew Trask wrote an amazing post at I am Trask called:
Hand Coding a Neural Network
Andrew Trask wrote an amazing post at I am Trask called:
qr
PWA of QR code to WhatsApp
Earlier this year I was in China, and in order to communicate with local delegates I installed WeChat. WeChat has a very handy feature that replaces exchangi...