Скачать или смотреть AlexNet 2012: The GPU Hack That Sparked the Deep Learning Revolution

One number changed AI forever: 15.3%.

In 2012, AlexNet didn’t just win the ImageNet competition - it shattered a 50-year-old paradigm and ignited the deep learning revolution that powers modern AI today.

In this final episode of our computer vision series, we go behind the scenes of the breakthrough that taught machines to see and uncover the engineering hacks, hardware battles, and learning tricks that made it possible.

You’ll learn:
• Why AlexNet’s ImageNet result shocked the entire AI community
• How GPUs built for gaming unlocked deep learning
• The “split-brain” trick used to train a 60M-parameter network
• Why overfitting nearly killed the model
• How data augmentation and dropout forced real learning
• Why stochastic gradient descent with momentum mattered
• How AlexNet led directly to VGG, GoogLeNet, and ResNet
• The moment AI surpassed human-level vision performance

This video explains how deep learning went from fringe idea to world-changing technology and why modern AI is built on data, architecture, and optimization, not hand-written rules.

👉 Watch till the end to understand why AlexNet didn’t just solve vision - it changed how we build intelligence itself.

👍 Like if this series changed how you see AI
💬 Comment: Was the GPU hack or dropout more surprising?
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