lidel + deeplearning   6

Feature Visualization
How neural networks build up their understanding of images
ai  deeplearning  machinelearning  visualization  primer  learning  neuralnetworks 
february 2018 by lidel
Exploring LSTMs
It turns out LSTMs are a fairly simple extension to neural networks, and they're behind a lot of the amazing achievements deep learning has made in the past few years. So I'll try to present them as intuitively as possible – in such a way that you could have discovered them yourself.
machinelearning  deeplearning  RRN  LSTM  primer  neuralnetworks 
june 2017 by lidel
The Neural Network Zoo - The Asimov Institute
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first.

So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these architectures are presented as novel and unique, when I drew the node structures… their underlying relations started to make more sense.
ai  deeplearning  machinelearning  neuralnetworks  cheatsheet  primer  reference 
october 2016 by lidel
Deep Learning Papers Reading Roadmap
If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

Here is a reading roadmap of Deep Learning papers!
deeplearning  primer  tutorials  NLP  machinelearning 
october 2016 by lidel
Understanding Neural Networks Through Deep Visualization
Deep neural networks have recently been producing amazing results! But how do they do what they do? Historically, they have been thought of as “black boxes”, meaning that their inner workings were mysterious and inscrutable. Recently, we and others have started shinning light into these black boxes to better understand exactly what each neuron has learned and thus what computation it is performing.
ai  neuralnetworks  deeplearning  machinelearning  visualisation 
october 2015 by lidel

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