Скачать или смотреть 5- Multiclass Classification and Cross-entropy Error Function

#machinelearning #deeplearning #neuralnetworks #gradientdescent #classification

In this video, you will see how the famous cross-entropy error function is born for the task of multi-class classification in artificial neural networks.
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01:33 Some recap from the last video on binary classification and binary cross-entropy error function
04:37 The type of outputs needed for a multi-class classification problem
09:10 How is the output function of a neural network for a multi-class classification problem different to that of the binary classification case
11:09 Introducing the softmax output function
24:08 The Multi-nomial likelihood assumption for multi-class classification problems
25:36 The multi-nomial: a closer look with an example
38:59 From multi-nomial likelihood to the birth of the cross-entropy function
47:50 The neural assumptions for multi-class classification
50:30 A summary of the content and the wrap-up of the Birth of Error Functions series
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