Linking pages
- Automatic Colorization http://www.tinyclouds.org/colorize/ 95 comments
- Generative Models https://openai.com/blog/generative-models/ 60 comments
- Google Brain Residency http://tinyclouds.org/residency/ 55 comments
- Photos from Crude Sketches: NVIDIA's GauGAN Explained Visually - AdamDKing.com https://adamdking.com/blog/gaugan/ 25 comments
- GitHub - tomepel/Technical_Book_DL: This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. https://github.com/tomepel/Technical_Book_DL 23 comments
- Generative Models https://blog.openai.com/generative-models/ 15 comments
- GitHub - mikeroyal/Unreal-Engine-Guide: Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch. https://github.com/mikeroyal/Unreal-Engine-Guide#linux-development 12 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- Image Classification in 10 Minutes with MNIST Dataset | by Orhan G. Yalçın | Towards Data Science https://towardsdatascience.com/image-classification-in-10-minutes-with-mnist-dataset-54c35b77a38d 7 comments
- GitHub - helblazer811/ManimML: ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library. https://github.com/helblazer811/ManimML 5 comments
- Rohan & Lenny #2: Convolutional Neural Networks | by Lenny Khazan | A Year of Artificial Intelligence https://ayearofai.com/rohan-lenny-2-convolutional-neural-networks-5f4cd480a60b#.gpms9jz88 5 comments
- Keras Tutorial: The Ultimate Beginner's Guide to Deep Learning in Python https://elitedatascience.com/keras-tutorial-deep-learning-in-python 5 comments
- Your Computer Dresses You Funny. Fashion is hard for machines. So we set… | by Kip | Medium https://medium.com/@kipsearch/can-a-computer-understand-black-tie-vs-black-tie-fe9cbaf60b09 3 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - mikeroyal/Game-Console-Dev-Guide: Game Console Dev Guide. Learn to develop games for Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch, Steam Deck, and Apple Silicon. https://github.com/mikeroyal/Game-Console-Dev-Guide 1 comment
- Launching the Wolfram Neural Net Repository—Wolfram Blog http://blog.wolfram.com/2018/06/14/launching-the-wolfram-neural-net-repository/ 1 comment
- Mapping the World of Music Using Machine Learning: Part 2 | by Tim Schmeier | iHeartRadio Tech https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c#.c057zss41 1 comment
- Alex Gulakov Blog — 200 Must-Reads on Machine Learning in 2023 | by Alex Gulakov | Jan, 2023 | Medium https://medium.com/@alexgulakov/200-links-for-must-reads-on-machine-learning-in-2023-def28906aa65 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- Creativity and search https://vishakh.me/posts/creativity_search/ 0 comments
Linked pages
- [1502.03167] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift http://arxiv.org/abs/1502.03167 6 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf 4 comments
- Caffe | Deep Learning Framework http://caffe.berkeleyvision.org/ 3 comments
- Torch | Training and investigating Residual Nets http://torch.ch/blog/2016/02/04/resnets.html 0 comments
- convnet-benchmarks/README.md at master · soumith/convnet-benchmarks · GitHub https://github.com/soumith/convnet-benchmarks/blob/master/README.md 0 comments
- [1602.07261] Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning http://arxiv.org/abs/1602.07261 0 comments
- ConvNetJS CIFAR-10 demo http://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html 0 comments
- http://arxiv.org/abs/1311.2901 0 comments
- [1603.05027] Identity Mappings in Deep Residual Networks http://arxiv.org/abs/1603.05027 0 comments
- [1409.4842] Going Deeper with Convolutions http://arxiv.org/abs/1409.4842 0 comments
- BLAS (Basic Linear Algebra Subprograms) https://netlib.org/blas/#_blas_routines 0 comments
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