AkhileshNatural Language ProcessingNatural Language Processing is concerned with tasks involving language data. We will focus on text data NLP. Speech processing is also NLP…Oct 23, 2017Oct 23, 2017
AkhileshConcept of Dropouts in Deep NetsDropout is one of the way to prevent overfitting(the other being unsupervised pre-training). The idea here is to remove the hidden units…Oct 23, 2017Oct 23, 2017
AkhileshUnsupervised Learning with Neural NetsUnsupervised learning- only use the inputs x(t) for learning :Oct 23, 2017Oct 23, 2017
AkhileshNeural Networks — Conditional Random Field (CRF)What we’ve seen so far with Neural networks is that they are a model that could take a single input and then through the computation of…Oct 23, 2017Oct 23, 2017
AkhileshUnsupervised Pre-training (Deep Neural Nets)Solution: Initialize hidden layers using unsupervised learning.Oct 23, 2017Oct 23, 2017
AkhileshDeep Learning — IntroDeep learning is research on learning models with multi-layer representations:Oct 23, 2017Oct 23, 2017
AkhileshStuff you need to know to train Neural NetworksEmpirical Risk Minimization:Oct 23, 2017Oct 23, 2017
AkhileshArtificial NeuronArtificial neuron is simply a computational unit, which makes a particular computation based on other units it is connected to.Oct 23, 2017Oct 23, 2017
AkhileshMachine Learning implementationOne secret you need to know beneath all of the math, and algorithms, is the “black art” to actually build machine learning models.Oct 23, 2017Oct 23, 2017