Linking pages
Linked pages
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- Artificial intelligence produces realistic sounds that fool humans | MIT News | Massachusetts Institute of Technology http://news.mit.edu/2016/artificial-intelligence-produces-realistic-sounds-0613 120 comments
- Automatic Colorization http://www.tinyclouds.org/colorize/ 95 comments
- GitHub - alexjc/neural-doodle: Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) https://github.com/alexjc/neural-doodle 93 comments
- http://www.cs.toronto.edu/~graves/handwriting.html 80 comments
- Auto-Generating Clickbait With Recurrent Neural Networks | Lars Eidnes' blog http://larseidnes.com/2015/10/13/auto-generating-clickbait-with-recurrent-neural-networks 70 comments
- Blog https://deepmind.com/blog#decoupled-neural-interfaces-using-synthetic-gradients 60 comments
- Human-level control through deep reinforcement learning | Nature http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html 59 comments
- Colorful Image Colorization http://richzhang.github.io/colorization/ 46 comments
- Deep Visual-Semantic Alignments for Generating Image Descriptions http://cs.stanford.edu/people/karpathy/deepimagesent/ 39 comments
- ConvNetJS Deep Q Learning Reinforcement Learning with Neural Network demo https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html 27 comments
- https://www.youtube.com/watch?v=l2dVjADTEDU 18 comments
- [1603.08511] Colorful Image Colorization http://arxiv.org/abs/1603.08511 11 comments
- Machines can generate sound effects that fool humans | Engadget https://www.engadget.com/2016/06/13/machines-can-generate-sound-effects-that-fool-humans/ 11 comments
- http://arxiv.org/pdf/1312.5602v1.pdf 11 comments
- MIT Visualization Group | We use visualization as a petri dish to study intelligence augmentation: how can computation help amplify our cognition and creativity, while respecting our agency? http://vis.csail.mit.edu/ 8 comments
- Mastering the game of Go with deep neural networks and tree search | Nature http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html 6 comments
- Your First Deep Learning Project in Python with Keras Step-by-Step - MachineLearningMastery.com http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/ 4 comments
- GitHub - kjw0612/awesome-deep-vision: A curated list of deep learning resources for computer vision https://github.com/kjw0612/awesome-deep-vision 0 comments
- [1606.03073] Convolutional Sketch Inversion https://arxiv.org/abs/1606.03073 0 comments
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