deeplearning   7778

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Generative Adversarial Networks for Beginners - O'Reilly Media
Build a neural network that learns to generate handwritten digits.
deeplearning 
yesterday by twleung
GitHub - kimhc6028/relational-networks: Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
relational-networks - Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
deeplearning  pytorch 
yesterday by twleung
Deep adversarial learning is finally ready 🚀 and will radically change the game
Adversarial learning is one of the most hyped areas in deep learning. If you browse arxiv-sanity, you’ll notice much of the most popular recent research explores this area. In the opening lecture of…
deeplearning 
yesterday by twleung
Work in progress: Portraits of Imaginary People
For a while now I’ve been experimenting with ways to use generative neural nets to make portraits. Early experiments were based on deepdream-like approaches ...
deeplearning 
yesterday by twleung
Up to Speed on Deep Learning: June Update – Hacker Noon
Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged in May.
deeplearning 
yesterday by twleung
GitHub - stormraiser/GAN-weight-norm: Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
GAN-weight-norm - Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
deeplearning  pytorch 
yesterday by twleung
A Research to Engineering Workflow | Dustin Tran
Going from a research idea to experiments is fundamental. But thisstep is typically glossed over with little explicit advice. Inacademia, the graduate studen...
deeplearning 
yesterday by twleung
GitHub - xmartlabs/Bender: Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
deeplearning  iOS  tensorflow 
yesterday by twleung

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