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Coding
Reproducibility in Pytorch
What is Reproducibility All About? As a computer scientist, or as an academician, you do experiments with a bunch of
November 29, 2019
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Theory and Concepts
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
November 8, 2019
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Theory and Concepts
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
October 18, 2019
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Theory and Concepts
The Perceptron Training Rule
The Perceptron Training Rule It is important to learn the training process of huge neural networks. However, we need to
September 30, 2019
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Public Talks
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
September 18, 2019
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Coding
Train a Perceptron to Learn the AND Gate from Scratch in Python
What will you Learn in this Post? Neural Networks are function approximators. For example, in a supervised learning setting, given
July 20, 2019
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