it is simple 2 layer neural network using only numpy as dependency
-
Updated
Jan 4, 2018 - Jupyter Notebook
it is simple 2 layer neural network using only numpy as dependency
NN model machine learning using tensorflow
Artificial Intelligence course at PJAIT
MS Geomatics Engineering Thesis
This project shows how to create and modify neural network layers.
Audionamix Audio SDK Node.js
Artificial Neural Network using Java
A program that uses Artificial Neural Networks to recognize handwritten equations in images and calculates its result.
Shows how to create a neural network from scratch in C# without a 3th party library
Run Instagram photos through a pytorch neural network for captioning and compare the result to the captions given
Twitter Sentiment Analyzer with Gensim's Word2Vec + NLTK + Keras
Deep Learning Projects and Labs without using ML packages in an attempt to fundamentally understand the algorithms under the hood.
Our PyTorch project simplifies multi-output regression tasks. It's equipped with a flexible ANN architecture, automated activation functions, and versatile loss functions. Easily train, evaluate, and visualize models, with room for future enhancements.
Testing - What can be done with Fisherfaces
Classification of positive and negative IMDB movie reviews with neural network, training with SGD and Genetic Algorithms comparison
NeuralAesthetics is a lightweight and easy-to-use JavaScript library for generating eye-catching graph-like neural networks on web pages
Add a description, image, and links to the neuralnetwork topic page so that developers can more easily learn about it.
To associate your repository with the neuralnetwork topic, visit your repo's landing page and select "manage topics."