Linking pages
- GitHub - duncantmiller/ai-developer-resources: I am Duncan, the founder of BotDevs.ai. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelligence, deep learning and machine learning. PRs welcome! https://github.com/duncantmiller/ai-developer-resources 2 comments
Linked pages
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- An Intuitive Guide to Linear Algebra – BetterExplained https://betterexplained.com/articles/linear-algebra-guide/ 398 comments
- Machine Learning | Google for Developers https://developers.google.com/machine-learning/crash-course/ 371 comments
- A Neural Network in 11 lines of Python (Part 1) - i am trask https://iamtrask.github.io/2015/07/12/basic-python-network/ 320 comments
- The Difference Between AI, Machine Learning, and Deep Learning? | NVIDIA Blog https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/ 101 comments
- A Programmer’s Intuition for Matrix Multiplication – BetterExplained https://betterexplained.com/articles/matrix-multiplication/ 93 comments
- Scipy Lecture Notes — Scipy lecture notes http://www.scipy-lectures.org/ 72 comments
- GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. https://github.com/eriklindernoren/ML-From-Scratch 70 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap2.html#the_four_fundamental_equations_behind_backpropagation 64 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- Support Vector Machines (SVM) Algorithm Explained https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/ 60 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap1.html 59 comments
- Exploring LSTMs http://blog.echen.me/2017/05/30/exploring-lstms/ 59 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- A practical explanation of a Naive Bayes classifier https://monkeylearn.com/blog/practical-explanation-naive-bayes-classifier/ 41 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap6.html 38 comments
- https://ml.berkeley.edu/blog/2016/12/24/tutorial-2/ 36 comments
- A Guide to Deep Learning by YerevaNN http://yerevann.com/a-guide-to-deep-learning/ 36 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap3.html 29 comments
- The Nature of Code http://natureofcode.com/book/chapter-10-neural-networks/ 29 comments