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Mathematics of Machine Learning
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:
February 6, 2020
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Theory and Concepts
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
January 28, 2020
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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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