ADALINE: Adaptive Linear Neurons - EXPLAINED!

We are going to go back to the 1960s to get an electrical engineering perspective that kickstarted deep learning. RESOURCES [1 📚] Here is the paper that introduced the Adaptive Neuron Layers (ADALINE): https://www-isl.stanford.edu/~widrow/papers/c1960adaptiveswitching.pdf [2 📚] Good reading resource: https://com-cog-book.github.io/com-cog-book/features/adaline.html#ADALINE-limitations [3 📚] Perceptron vs Adaline: https://sebastianraschka.com/faq/docs/diff-perceptron-adaline-neuralnet.html [4 📚] Nice introduction to history of neural networks: https://www-isl.stanford.edu/~widrow/papers/bc1995perceptronsadalines.pdf [5 📚] Shanon circuit analysis: https://www.youtube.com/watch?v=r5dPasQtbY8 [6 📚] Link to the Shanon’s masters thesis (considered one of the most important): https://www.cs.virginia.edu/~evans/greatworks/shannon38.pdf [7 📚] Introduction to op-amps: https://www.youtube.com/watch?v=fmRHDqcodS4 [8 📚] Constructing a summer and average circuit with op amps: https://www.ablic.com/en/semicon/products/analog/opamp/intro/ [9 📚] Cauchy’s work on gradient descent optimization back in 1847: https://web.archive.org/web/20181229073335/https://www.math.uni-bielefeld.de/documenta/vol-ismp/40_lemarechal-claude.pdf [10 📚] Lecture notes based on Jon Von Neumann‘s neuron: https://static.ias.edu/pitp/archive/2012files/Probabilistic_Logics.pdf [11 📚] Interview with Bernard Woodrow where he shows a demow of knobby Adeline about 50 minutes in: https://youtu.be/IhZP31TADUI?si=3qdPaYJnZUbAybBw [12 📚] ADALINE is an adaptive filter: https://www.mathworks.com/help/deeplearning/ug/adaptive-neural-network-filters.html ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/ PLAYLISTS FROM MY CHANNEL ⭕ Deep Learning 101: https://www.youtube.com/playlist?list=PLTl9hO2Oobd_NwyY_PeSYrYfsvHZnH