Back Propagation, Python
A library that demonstrates training of data using stochastic gradient descent method
Building a Neural Network from scratch
Implements a simple neural network without using neural network libraries.
Machine Learning models based on Tensorflow
Use the BP Network to predict and choose stock
A simple numpy example of the backpropagation algorithm in a neural network with a single hidden layer
Collection of neural network implementations done from scratch.
A CNN model in numpy for gesture recognition
Rnn (vanial, GRU and LSTM) from scratch
Neural network built from scratch
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Neural Networks : Back propagation implementation
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
Implementation of Neural Network from scratch using Sigmoid, tanh and ReLu activation functions.
Backpropagation with numpy
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