Python / neural network

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This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

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A neural network with 3 layers made with just numpy as dependency

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A Neural Network implemented from scratch (using only numpy) in Python.

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A simple Python script showing how the backpropagation algorithm works.

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Neural Network Projects with Python, Published by Packt

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Sample Code for Gated Graph Neural Networks

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Implementation of a neural network from scratch in python.

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A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python

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Handwritten Digit Recognition Using Convolutional Neural Network by Python

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Pure python implementation of SNN

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