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.

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

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.

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

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

"One Hidden Layer Neural Network" from Scratch

Snoop can be used to expand shortened Links such as those from bit.ly etc.to their original form without actually visting them. right from your terminal

"Deep Neural Network" from Scratch

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.

CNN Deep Layer Filters Visualization using Tensorflow.

Deep-Learning neural network to analyze and classify the success of charitable donations.

Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.