Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy
In order to do backpropagation and optimization, we need to have some measure of how wrong the model is. For this, we use a loss function. In our case, with a softmax classifier, we'll be using categorical cross-entropy.
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Видео Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy канала sentdex
Next video: https://youtu.be/levekYbxauw
Neural Networks from Scratch book: https://nnfs.io
Playlist for this series: https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3
Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join
Discord: https://discord.gg/sentdex
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
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#nnfs #python #neuralnetworks
Видео Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy канала sentdex
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