Variational Autoencoder: Intuition and Implementation

@tachyeonz : There are two generative models facing neck to neck in the data generation business right now: Generative Adversarial Nets (GAN) and Variational Autoencoder (VAE). These two models have different take on how the models are trained.

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On the intuition behind deep learning & GANs — towards a fundamental understanding

@tachyeonz : A generative adversarial network (GAN) is composed of two separate networks – the generator and the discriminator. It poses the unsupervised learning problem as a game between the two. In this post we will see why GANs have so much potential, and frame GANs as a boxing match between two opponents.

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Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)

@tachyeonz : In 2014, Ian Goodfellow and his colleagues at the University of Montreal published a stunning paper introducing the world to GANs, or generative adversarial networks.

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These Were The Best Machine Learning Breakthroughs Of 2016

@tachyeonz : What were the main advances in machine learning/artificial intelligence in 2016? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights.

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Tags : 2016, breakthroughs, cntk, deep learning, dntk, gans, generative adversarial, innovations, lstm, machine learning, mxnet, neural networks, nips2016, probabilistic models, probabilistic programming, statistics, wavenet, z

Published On:January 04, 2017 at 04:25PM

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Google teaches “AIs” to invent their own crypto and avoid eavesdropping

@tachyeonz : Google Brain has created two artificial intelligences that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto.

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Tags : analytics, artificial intelligence, data science, deep learning, gans, generative adversarial, machine learning, neural networks, z

Published On:January 04, 2017 at 03:59PM

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Deep Learning 2016: The Year in Review

@tachyeonz : In order to understand trends in the field, I find it helpful to think of developments in deep learning as being driven by three major frontiers that limit the success of artificial intelligence in general and deep learning in particular.

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Tags : deep learning, elon musk, gans, generative adversarial, intel, karpathy, nervana, neural networks, nvidia, open ai, reinforcement learning, research paper, russ salakhutdinov, technology, yann le cun, z

Published On:January 01, 2017 at 05:29PM

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Apple leaps into AI research with improved simulated + unsupervised learning

@tachyeonz : Corporate machine learning research may be getting a new vanguard in Apple. Six researchers from the company’s recently formed machine learning group published a paper that describes a novel method for simulated + unsupervised learning.

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Tags : apple, artificial intelligence, gans, generative adversarial, m, machine learning, networks, news, research paper, russ salakhutdinov, simulated, simulated gans, technology, unsupervised learning

Published On:December 27, 2016 at 06:45PM

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NIPS 2016 Review, Day 2

@tachyeonz : Why good morning again, fellow machine learners. It’s another day at NIPS, and what a grueling experience. The sessions ran from 9am to 9pm last night, and I was there for most of it! (Check out my NIPS 2016 Review, Day 1 for the low-down on yesterday’s action.) Ok, let’s get crackin’.

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Tags : gans, generative adversarial, gradient descent, kyle cranmer, m, models, nips2016, pgm, probabilistic graphical, sgd, stochastic

Published On:December 26, 2016 at 05:13PM

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