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Credit scoring is the practice of analysing a persons background and credit application in order to assess the creditworthiness of the person. One can take numerous approaches on analysing this creditworthiness. In the end it basically comes down to first selecting the correct independent variables (e.g. income, age, gender) that lead to a given level of creditworthiness. In other words: creditworthiness=f(income, age, gender, ...). A creditscoring system can be represented by linear regression, logistic re

Thanks to Dan Roberts and Sho Yaida for comments on a draft of this post. …

Without activation functions, a neural network is just a linear regression no matter how deep. This guide explains what activation functions do, the most important ones, and how to choose the right one for your architecture

In this guide, we discuss what a Convolutional Neural Network (CNN) is, how they work, and discuss various different applications of CNNs in computer vision models

http://gizmodo.com/this-is-what-happens-when-you-let-a-neural-network-desi-1755137713

Spiking neural networks (SNNs) have shown a potential for having low energy with unsupervised learning capabilities due to their biologically-inspired computation. However, they may suffer from accuracy degradation if their processing is performed under the presence of hardware-induced faults in memories, which can come from manufacturing defects or voltage-induced approximation errors. Since recent works still focus on the fault-modeling and random fault injection in SNNs, the impact of memory faults in SN

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# Understanding LSTM Networks Posted on August 27, 2015 ## Recurrent Neural Networks Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence. Traditional neural networks can’t do this, and it seems like a major shortcoming. For example, imagine you want to classify what kind of event is happening at

Practice multiple choice questions on Recurrent Neural Network (RNN) with answers. It is an important Machine Learning model and is a significant alternative to Convolution Neural Network (CNN