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 (ANN). In our previous post
October 18, 2019
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Theory and Concepts
The Beauty that is the Delta Rule In general, there are 2 main ways to
- October 18, 2019
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Theory and Concepts
The Perceptron Training Rule It is important to learn the training process of huge neural
- September 30, 2019
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Public Talks
ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data
- September 18, 2019
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Coding
What will you Learn in this Post? Neural Networks are function approximators. For example, in
- July 20, 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 simplify this by first understanding
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 classification approach to anomaly detection
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 loads of inputs and loads
July 20, 2019
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Public Talks
June 30, 2019
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A curious (but revealing) case in Bayesian inference 🧠
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