A CNN model in numpy for gesture recognition
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Updated
Oct 11, 2017 - Python
A CNN model in numpy for gesture recognition
Back Propagation, Python
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Micro-Framework for building and Training Neural Network from Scratch based AutoGrad Engine
Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"
Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)
A simple neural network with backpropagation used to recognize ASCII coded characters
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
Use the BP Network to predict and choose stock
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.
Implementation of different versions of FeedForward Neural Network in python from scratch. The repository includes, Backpropagation, Dimensionality Reduction with Autoencoder and Word2Vec model (CBOW).
Optical character recognition which recognises handwritten digits using neural network. Algorithms applied are Stochastic gradient descent and Back propagation.
This algorithm is a backpropagation developed using Python
Signature Verification using Deep Convolution Neural Networks
Utilizing deep learning to deblur images
Building a Neural Network from scratch
basic neural network implemetation by maths, with back prop
Simple neural network with only one layer that learns to classify 2 colors
Implements a simple neural network without using neural network libraries.
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