How AI Finally "Sees" Like a Human: The Deep Learning Story
Автор: Matiq News
Загружено: 2026-01-30
Просмотров: 1
Описание:
"Intelligence doesn't get coded—it forms."
In this episode, Akash and Eva explore the "Deep Revolution"—the pivotal moment AI moved beyond simple rules into complex, layered understanding. We dive into the work of Geoffrey Hinton and the 2012 breakthrough that changed everything.
Inside this episode:
The Rules vs. Perception: Why early AI could calculate but never truly "see".
The Hinton Breakthrough: How Deep Belief Networks revived a dying field in 2006.
AlexNet (2012): The legendary moment that crushed image recognition benchmarks.
Gaming to AI: How GPUs designed for Call of Duty became the secret fuel for modern AI.
Layered Intelligence: A breakdown of how CNNs, RNNs, and LSTMs allow machines to remember and understand.
Timestamps:
0:00 The Deep Revolution: Layers of Intelligence
0:45 The Wall: Why Rule-Based Systems Failed
1:15 Learning Like a Brain: The Visual Cortex Model
1:31 Geoffrey Hinton: The Pioneer of Deep Learning
1:55 ImageNet 2012: The AlexNet Breakthrough
2:18 GPUs: From Gaming to AI Fuel
2:48 CNN, RNN, & LSTM: How Machines See & Remember
3:05 Why Even Scientists Don't Fully Understand AI
4:20 Outro: The Age of Data is Here
#DeepLearning #NeuralNetworks #AI2026 #TechHistory #MatiqNews #ArtificialIntelligence
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