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Artificial Intelligence | Technology | AlexNet, introduced by Alex Krizhevsky and colleagues in 2012, was one of the first deep convolutional neural networks (CNNs) to achieve... | Instagram
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Malkesh Dalia on Instagram: "In AlexNet, the convolutional layers learn features in a hierarchy, becoming more abstract the deeper the data travels. The earliest layers react to basic visual cues like edges or color contrasts. Deeper layers, however, begin to fire for complex shapes and class-specific patterns, such as parts of faces or objects. We can actually see this process by passing an image through the network and extracting activation maps from selected filters. Visualizing these maps sh
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🧠 AlexNet changed everything in 2012. It was the first deep neural network to crush ImageNet, and it kickstarted the deep learning revolution. 📸 Trained on millions of images 🧱 8 layers deep (5 conv 3 fully connected) 🔥 ReLU activation for faster training AlexNet proved that deep learning works and opened the door to modern AI. #DeepLearning #AI #NeuralNetworks #AlexNet #ComputerVision #ImageNet #CNN #MachineLearning #AIHistory
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