Copy of the 'Neural Network JavaScript library for Coding Train tutorials' in C#
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Updated
Apr 23, 2018 - C#
Copy of the 'Neural Network JavaScript library for Coding Train tutorials' in C#
A project is a second part of Introduction to Machine Learning course. Here the problem is image recognition on CIFAR10 dataset using 2 different approaches: simple model and transfer learning using pretrained model.
An open (accessible parameters), feed-forward-only NN (neural net) library to use it in an dynamic and free way in evolutionary algorithms. Design is influenced by the Keras Sequetial model.
models built either from scratch, tensorflow, pyTorch, or scikit learn.
Yet another pytorch implementation of MNIST handwritten digit classification
First Daily Hack HackEPS 2021. Have Fun!
This repo contains the implementation of a VAE and CVAE and applies that on MNIST dataset for modeling and generating different digits.
Prediction of house prices using a fully connected Neural Network exploiting the power of feature selection with backward elimination.
Implemented multiple Classification tasks such as (Linear Regression, Logistic Regression, Decision Tree, KNN, NN)
nn-demo-site.ku , an example setup of free hosted gh-page
Simple layers of Artificial NN from scratch (numpy only)
Variance normalising pre-training of neural networks.
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
Prediction of house prices based on their given different attributes with neural networks and PyTorch framework
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