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- Neural Networks, Manifolds, and Topology (2014) https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 25 comments
- Neural Networks, Manifolds, and Topology (2014) http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 7 comments
- Neural Networks, Manifolds, and Topology http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 29 comments
- Do neural networks create a separating hyperplane? https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 2 comments learnmachinelearning
- [D] Do neural networks create a separating hyperplane? https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 22 comments machinelearning
- Neural Networks, Manifolds, and Topology http://colah.github.io/posts/2014-03-nn-manifolds-topology/ 13 comments programming
- Neural Networks, Manifolds, and Topology http://colah.github.io/posts/2014-03-nn-manifolds-topology/ 22 comments math
- Neural Networks, Manifolds, and Topology. http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 4 comments statistics
Linking pages
- The Turing Bot | The Topics I Would Choose If I Ever Did A PhD in AI/ML https://turing-bot.com/posts/masters-degree-new-learn 12 comments
- GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- Exploring Neural Networks | Towards AI https://medium.com/towards-artificial-intelligence/neural-networks-from-scratch-a-brief-introduction-for-beginners-d3776599aaac 0 comments
- My summer project: a rock-paper-scissors machine built on TensorFlow | Google Cloud Blog https://cloud.google.com/blog/big-data/2017/10/my-summer-project-a-rock-paper-scissors-machine-built-on-tensorflow 0 comments
- Explainable AI vs Explaining AI — Part 2 | by ahmad haj mosa | Towards Data Science https://towardsdatascience.com/explainable-ai-vs-explaining-ai-part-2-statistical-intuitive-vs-symbolic-reasoning-systems-8b05f8e0a3a0 0 comments
- GitHub - Ranlot/spiralNet: Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training. https://github.com/Ranlot/spiralNet 0 comments
- GitHub - robertsdionne/neural-network-papers https://github.com/robertsdionne/neural-network-papers 0 comments
- Combinatorial Hyperbolic Embeddings - meiji163 https://meiji163.github.io/post/combo-hyperbolic-embedding/ 0 comments
- GitHub - enjalot/algovis: collection of projects and links about algorithm visualization https://github.com/enjalot/algovis 0 comments
- Rolling in the Deep (Learning). Deep Learning has been getting a lot of… | by Amine Benhalloum | The Programmable Chronicles https://medium.com/the-programmable-chronicles/rolling-in-the-deep-learning-4302bd5c06da 0 comments
- Hyper-parameters in Action! Part I — Activation Functions | by Daniel Godoy | Towards Data Science https://towardsdatascience.com/hyper-parameters-in-action-a524bf5bf1c 0 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/favorite-deep-learning-papers 0 comments
- It’s time to retire that interview script | by justin j. moses | Medium https://medium.com/@justinjmoses/its-time-to-retire-that-interview-script-fa472d631c4e 0 comments
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