Hi, I am Jay Gala. I write about Machine Learning and other things that interest me!
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Neural Networks: Activation Function
Let’s understand activation functions with an exciting example. Consider the following dataset. We need to build a classification model for the following problem. The above problem is a “non-linear” problem and we cannot predict a label using a model of the form One possible solution to this problem is Feature Crosses. But what if we
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Neural Networks
Artificial Neural Networks (ANNs) are a subset of machine learning and form the base for deep learning. The name is inspired by the complex network of neurons that exist in the human brain. Neural networks are a set of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of
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Classification: ROC Curve and AUC
ROC Curve A ROC (receiver operating characteristic) Curve is a graph showing the performance of a classification model at different threshold values. On its X-axis we plot the FPR (False Positive Rate) and TPR (True Positive Rate) on the Y-axis. TPR is a synonym for recall and is defined as follows: FPR is defined as…
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