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Gradient descent, how neural networks learn | Deep Learning Chapter 2
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YouTube3Blue1Brown
Gradient descent, how neural networks learn | Deep Learning Chapter 2
Cost functions and training for neural networks. Help fund future projects: https://www.patreon.com/3blue1brown Special thanks to these supporters: http://3b1b.co/nn2-thanks Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks This video was supported by Amplify Partners. For any early-stage ML startup ...
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Artificial Intelligence | AI on Instagram: "When AI models learn to see visual data, they start by analyzing images as grids of pixels. In early layers of a neural network, the model detects simple features like edges, colors, and gradients by looking at small patches of the image. Low-level features like the ones mentioned above are basic but important building blocks. As the image progresses through deeper layers of the network, these simple features get combined into more complex representati
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Artificial Intelligence | AI on Instagram: "When AI models learn to see visual data, they start by analyzing images as grids of pixels. In early layers of a neural network, the model detects simple features like edges, colors, and gradients by looking at small patches of the image. Low-level features like the ones mentioned above are basic but important building blocks. As the image progresses through deeper layers of the network, these simple features get combined into more complex representati
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