Textbook Chapter about how Neural Network Models and Principal Component Analysis (PCA) can be used together to better understand data.
Practice
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
🧬This repository contains implementations of various bio-inspired optimization algorithms, along with example notebooks and resources for demonstration.
A lab assignment of training feed forward neural networks and optimization algorithms
[RU] Обучение однослойного перцептрона дельта-правилом. [EN] Training of a single-layer perceptron by the delta rule.
Emoji and MNIST digit Classfication
Language recognition using Perceptrons
Single Layer Perceptrons are the fundamental of Neural Networks. They are very effective on linearly separable classes.
Predictive model that divides the customers into groups based on common characteristics so companies can market to each group effectively and appropriately
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