Building a smodel using SVC
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Updated
Aug 29, 2022 - Jupyter Notebook
Building a smodel using SVC
Spatial interpolation python package
A cross-platform AR Visualizer utilizing a Radial-kernel-trained Support Vector Machine (SVM) model to generate interactive 3D model to understand machine learning concepts
Chicken Scheme bindings for the Radial Basis Function interpolation routines by John Burkardt
This repository consists of the Analysis and ML training of the MNIST_Digit_recognizer on kaggle
RBF (Radial Basis Function) for classification
A custom Radial Basis Function (RBF) neural network is implemented to predict gold prices using time series data.
Implementação da Rede Neural Função base radial (FBR, ou RBF do inglês Radial base function) proposta no Projeto prático 6.5 do livro "Redes Neurais Artificiais para engenharia e ciências aplicadas" do autor Ivan Nunes da Silva.
Radial Basis Function (RBF) with Dynamic Decay Adjustment (DDA) algorithm
Implemented Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks from scratch in Python and used ResNet-34 as a feature extractor. Evaluated and compared the classification accuracy of the two networks on the CIFAR-10 dataset.
CAP6619 Deep Learning FAU CS master's Fall 2018
Projects related to the course: Foundations of Machine Learning
A little project to avoid manually tuning of hyperparameters.
Classification of tweets as positive or negative sentiments using different SVM kernels
First homework of the module Optimization Methods for Machine Learning (Autumn 2017) at Sapienza University of Rome.
1-D Normal Splines in Julia
perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
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