[R] Assessing Retail Employee Risk Through Unsupervised Learning Techniques
submitted by /u/borowcm [link] [comments]
[P] A Step-by-Step Guide to Synthesizing Adversarial Examples
submitted by /u/anishathalye [link] [comments]
[D] CS231n: "any preprocessing statistics (e.g. the data mean) must only be computed on the training data, and then applied to the validation / test data."
I've done a fair amount of thinking but can't figure this out. Could anyone explain this paragraph from Stanford's CS231n? Specifically, why not compute it on all the data and then split?
Introduction to Neural Networks, Advantages and Applications
Artificial Neural Network (ANN) algorithm mimic the human brain to process information. Here we explain how human brain and ANN works.
[P] A Slack channel for ML researchers & developers in the Toronto-Waterloo corridor
submitted by /u/aato [link] [comments]
6 Reasons Why Python Is Suddenly Super Popular
Python is a general-purpose language — sometimes referred to as utilitarian — which is designed to be simple to read and write. The point that it’s not a complex language is important.
[R] A data independent approach to universal adversarial perturbations
submitted by /u/ug96 [link] [comments]
The Truth About Bayesian Priors and Overfitting
Many of the considerations we will run through will be directly applicable to your everyday life of applying Bayesian methods to your specific domain.
[R] Adversarial Sets for Regularising Neural Link Predictors
submitted by /u/_rockt [link] [comments]
[P] 37 Reasons why your NN is not working
submitted by /u/slavivanov [link] [comments]