Hacker News
- How the backpropagation algorithm works http://neuralnetworksanddeeplearning.com/chap2.html 30 comments
- Michael Nielsen does a great job explaining backprop http://neuralnetworksanddeeplearning.com/chap2.html 18 comments learnmachinelearning
- Understanding updating the weights using gradient descent http://neuralnetworksanddeeplearning.com/chap2.html 3 comments learnmachinelearning
- Help understanding backpropagation http://neuralnetworksanddeeplearning.com/chap2.html 6 comments learnmachinelearning
- Help understanding one of the assumptions for back propagation http://neuralnetworksanddeeplearning.com/chap2.html 4 comments learnmachinelearning
- Classifying Numbers Tutorial http://neuralnetworksanddeeplearning.com/chap2.html 3 comments learnmachinelearning
Linking pages
- My path to OpenAI https://blog.gregbrockman.com/my-path-to-openai 79 comments
- Generative Models https://openai.com/blog/generative-models/ 60 comments
- GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated. https://github.com/gokadin/ai-simplest-network 21 comments
- Researchers are using Darwin’s theories to evolve artificial intelligence, so only the strongest algorithms survive — Quartz https://qz.com/933695/researchers-are-using-darwins-theories-to-evolve-ai-so-only-the-strongest-algorithms-survive/ 18 comments
- Generative Models https://blog.openai.com/generative-models/ 15 comments
- Neural Networks: All You Need to Know | by Suryansh S. | Towards Data Science https://towardsdatascience.com/nns-aynk-c34efe37f15a 7 comments
- Solving Sudoku: Part III. If you are not yet familiar with the… | by Nesh Patel | Medium https://medium.com/@neshpatel/solving-sudoku-part-iii-3182fe747883 7 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
- Making Big Data Processing More Energy Efficient Using Magnetic Circuits | Texas ECE - Electrical & Computer Engineering at UT Austin http://www.ece.utexas.edu/news/making-big-data-processing-more-energy-efficient-using-magnetic-circuits 0 comments
- ML From Scratch, Part 3: Backpropagation - OranLooney.com http://www.oranlooney.com/post/ml-from-scratch-part-3-backpropagation/ 0 comments
- The Man Who Helped Turn Toronto Into a High-Tech Hotbed - The New York Times https://www.nytimes.com/2017/06/23/world/canada/the-man-who-helped-turn-toronto-into-a-high-tech-hotbed.html 0 comments
- Intuitive Explanation of Skip Connections in Deep Learning | AI Summer https://theaisummer.com/skip-connections/ 0 comments
- GitHub - gokadin/ai-backpropagation: The backpropagation algorithm explained and demonstrated. https://github.com/gokadin/ai-backpropagation 0 comments
- Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78 0 comments
- Write an AI to win at Pong from scratch with Reinforcement Learning | by Dhruv Parthasarathy | Medium https://medium.com/@dhruvp/how-to-write-a-neural-network-to-play-pong-from-scratch-956b57d4f6e0 0 comments
- Visual Networks: The Marketing Consultant | by Italo Sayan | Towards Data Science https://towardsdatascience.com/visual-networks-the-marketing-consultant-d152b04a5e46 0 comments
- Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc 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
- What Is Machine Learning?. Man has always been enamored and… | by joydeep bhattacharjee | Technology at Nineleaps | Medium https://medium.com/technology-nineleaps/what-is-machine-learning-8f4f117a9f4e 0 comments
- Applied Deep Learning - Part 1: Artificial Neural Networks | by Arden Dertat | Towards Data Science https://medium.com/@ardendertat_47074/applied-deep-learning-part-1-artificial-neural-networks-d7834f67a4f6 0 comments
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