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[MINI] Convolutional Neural Networks episode artwork

EPISODE · May 19, 2017 · 14 MIN

[MINI] Convolutional Neural Networks

from Data Skeptic

CNNs are characterized by their use of a group of neurons typically referred to as a filter or kernel.  In image recognition, this kernel is repeated over the entire image.  In this way, CNNs may achieve the property of translational invariance - once trained to recognize certain things, changing the position of that thing in an image should not disrupt the CNN's ability to recognize it.  In this episode, we discuss a few high-level details of this important architecture.

Episode metadata supplied by the publisher feed · Published May 19, 2017

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[MINI] Convolutional Neural Networks

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This episode was published on May 19, 2017.

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CNNs are characterized by their use of a group of neurons typically referred to as a filter or kernel.  In image recognition, this kernel is repeated over the entire image.  In this way, CNNs may achieve the property of translational invariance -...

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