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.ipynb_checkpoints
.ipynb_checkpoints
 
 
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1. RedesNeuronales-FordwardPropagation.ipynb
1. RedesNeuronales-FordwardPropagation.ipynb
 
 
2. Regression-with-KERAS.ipynb
2. Regression-with-KERAS.ipynb
 
 
3. Clasification-with-KERAS.ipynb
3. Clasification-with-KERAS.ipynb
 
 
4.Redes Neuronales Convolucionales.ipynb
4.Redes Neuronales Convolucionales.ipynb
 
 
README.md
README.md
 
 
RedesNeuronales-FordwardPropagation.ipynb
RedesNeuronales-FordwardPropagation.ipynb
 
 
classification_model.h5
classification_model.h5
 
 
concrete_data.csv
concrete_data.csv
 
 

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DeepLearning-NeuralNetworks

Construccion de una Red Neuronal Este pequeño notebook, muestra la Construcción de una Red Neuronal desde cero con Python veremos como realizar predicciones usando Forward Propagation.

Artificial Red Neuronal - Forward Propagation

Objetivos del Notebook

1. Inicializar la Red
2. Computar la sumatoria ponderada en cada nodo.
3. Computar el nodo de Activacion

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Construcción de una Red Neuronal Artificial.

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neural-network deep-learning-tutorial

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