Скачать или смотреть Perceptron - Explained!

In this video, we will take a look at one of the early predecessors to modern neural networks: The Perceptron. Introduced in 1958 by Frank Rosenblat

RESOURCES
[1 📚] Cell assembly in Hebbian learning: http://www.scholarpedia.org/article/C...
[2 📚] Great video on synaptic plasticity:    • PSY210 CH13PT5: Hebbian Plasticity  
[3 📚] Main perceptron paper: https://www.ling.upenn.edu/courses/co...
[4 📚] Perceptron demo: https://sergedesmedt.github.io/MathOf...
[5 📚] Perceptron convergence theorem (to prove that a linear decision boundary can be found in a finite number of steps if such a boundary exists):    • Lecture 6 "Perceptron Convergence Proof" -...  

ABOUT ME
⭕ Subscribe: https://www.youtube.com/c/CodeEmporiu...
📚 Medium Blog:   / dataemporium  
💻 Github: https://github.com/ajhalthor
👔 LinkedIn:   / ajay-halthor-477974bb  

PLAYLISTS FROM MY CHANNEL
⭕ Deep Learning 101:    • Deep Learning 101  
⭕ Natural Language Processing 101:    • Natural Language Processing 101  
⭕ Reinforcement Learning 101:    • Reinforcement Learning 101  
Natural Language Processing 101:    • Natural Language Processing 101  
⭕ Transformers from Scratch:    • Natural Language Processing 101  
⭕ ChatGPT Playlist:    • ChatGPT  

MATH COURSES (7 day free trial)
📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML
📕 Calculus: https://imp.i384100.net/Calculus
📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStati...
📕 Bayesian Statistics: https://imp.i384100.net/BayesianStati...
📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra
📕 Probability: https://imp.i384100.net/Probability

OTHER RELATED COURSES (7 day free trial)
📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning
📕 Python for Everybody: https://imp.i384100.net/python
📕 MLOps Course: https://imp.i384100.net/MLOps
📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP
📕 Machine Learning in Production: https://imp.i384100.net/MLProduction
📕 Data Science Specialization: https://imp.i384100.net/DataScience
📕 Tensorflow: https://imp.i384100.net/Tensorflow

CHAPTERS
0:00 Introduction
1:09 Pass 1: Neurons & Learning
11:23 Quiz Time 1
12:24 Pass 2: Perceptron: big ideas
17:27 Quiz Time 2
18:36 Pass 3: Perceptron: details
25:31 Quiz Time 3
26:26 Summary