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COVID-19 Analysis
Studying and Predicting the Progress of COVID-19 using Pandas and ARIMA COVID-19 has been around for nearly 4 months since
Deriving the Gradient Descent Rule (PART-2)
What Will You Learn? In our previous post, we have talked about the meaning of gradient descent and how it
The Derivative of Softmax(z) Function w.r.t z
What will you learn? Ask any machine learning expert! They will all have to google the answer to this question:
Deriving the Gradient Descent Rule (PART-1)
The Gradient Descent Rule https://www.youtube.com/watch?v=gYqG4OT2Kj4 When training a model, we strive to minimize a certain error function (). This error
Reproducibility in Pytorch
What is Reproducibility All About? As a computer scientist, or as an academician, you do experiments with a bunch of
What is the Delta Rule? (Part-2)
What We Have Learned So Far … So far, we have learned that the Delta rule guarantees to converge to
What is the Delta Rule? (Part-1)
The Beauty that is the Delta Rule In general, there are 2 main ways to train an Artificial Neural Network
The Perceptron Training Rule
The Perceptron Training Rule It is important to learn the training process of huge neural networks. However, we need to
ECML-PKDD-2019: Elliptical Basis Function Data Descriptor (EBFDD) for Anomaly Detection
ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data Descriptor (EBFDD) network, a one-class