Back Propagation, Python
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Updated
Jun 28, 2011 - Python
Back Propagation, Python
A CNN model in numpy for gesture recognition
Minimalistic Multiple Layer Neural Network from Scratch in Python.
This algorithm is a backpropagation developed using Python
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
Readr is a python library using which programmers can create and compare neural networks capable of supervised pattern recognition without knowledge of machine learning. These networks are fuzzy-neuro systems with fuzzy controllers and tuners regulating learning parameters after each epoch to achieve faster convergence.
Use the BP Network to predict and choose stock
Signature Verification using Deep Convolution Neural Networks
Rnn (vanial, GRU and LSTM) from scratch
Sudoku Solver using a constraint satisfaction approach based on constraint propagation and backtracking and another one based on Relaxation Labeling
Optical character recognition which recognises handwritten digits using neural network. Algorithms applied are Stochastic gradient descent and Back propagation.
Using BackPropagation Algorithm to solve XOR.
Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)
Simple neural network with only one layer that learns to classify 2 colors
A simple neural network Implemented using only NumPy, A simple Codebase to understand the maths of Neural Network, and a few Optimization techniques.
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
A simple numpy example of the backpropagation algorithm in a neural network with a single hidden layer
Implements a simple neural network without using neural network libraries.
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