hidden-layers

simple neural network library in ANSI C

An easy neural network for Java!

Implementation of Artificial Neural Networks using NumPy

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training.

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.

Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer

one layer and two layer neural networks

Genann library port to C#, simple neural network library in ANSI C

CNN Deep Layer Filters Visualization using Tensorflow.

Deep Neural Network Classifier for the Win/Linux/OSX platform based on the GTK# Framework

Despite the big boom in Neural Networks, the common worker is still outside of its capabilities. The idea of the proyect is to give an easy tool for small neural networks (something around 6 layers and 200 neurons maybe). It has to run without any other software than Microsoft Excel.

A implementation of a Neural Network in vanilla python that trains on the MNIST handwritten digit classifiction problem.

A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.

Deep Learning projects

The code of forward propagation , cost function , backpropagation and visualize the hidden layer.

Empirical study of the effects of nonlinearity in activation functions on the performance of shallow neural networks and deep learning models

A sklearn-driven script to learn the best parameters for MLP to classify a thyroid dataset

This project tried to predict whether applicants will be successful if funded by the Alphabet Soup Co. Alphabet Soup Co. wants to provide funding to companies but it needs to know in advance whether it will be successful or not.

Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet

An artificial neural network coded in c++ trained using MNIST handwritten digits database.

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Deep Learning

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

Visualisation of Hidden layers of a Sequential model

neural network that predicts if its a male or female by hight and weight

Implementing a 2-class Classification Neural Network with a Single Hidden Layer