IEEE

Divergence Maximizing Linear Projection for Supervised Dimension Reduction

Abstract: This paper proposes two linear projection methods for supervised dimension reduction using only first- and second-order statistics. The methods, each catering to a different parameter regime ...
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Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Mike Johnson gives update on Jan. 6 plaque ...
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Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

An Efficient Hardware Accelerator for Linear Discriminant Analysis Based Classifier

Abstract: Linear Discriminant analysis (LDA) is one of the promising machine learning (ML) algorithms which can be used for dimension reduction and as well as for classification. LDA takes a ...