Essential AI Concepts: History & Types (AI/ML Series - Lecture 1)
Автор: Ai Guru
Загружено: 2025-09-18
Просмотров: 79
Welcome to the First lecture in our machine learning series!
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🚀 From Alan Turing’s big question “Can machines think?” to today’s self-driving cars and smart assistants — this video breaks down the journey of AI, Machine Learning, and Deep Learning.
We’ll cover the Perceptron, the XOR problem, the first AI winter, and the breakthrough of backpropagation that unlocked modern neural networks. Plus, how the human brain inspired ANNs and why AI still struggles with things humans find easy.
00:00 – Everyday AI examples (self-driving cars, assistants)
00:37 – AI vs ML vs Deep Learning explained
01:14 – Alan Turing and the Turing Test
02:08 – The AI Paradox: hard vs easy tasks
04:00 – Brain inspiration → Artificial Neural Networks
06:30 – Early pioneers & the perceptron
07:59 – Backpropagation breakthrough
08:37 – Network architectures & learning paradigms
10:34 – The Perceptron in detail (AND/OR logic)
12:33 – The XOR problem & AI winter
13:34 – From Turing to Deep Learning today
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