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Perceptron-Source-Code
Perceptron-Source-Code PublicThis is a supervised learning algorithm that enables the machine to make predictions based on linearly arranged datasets. Purpose To use the data to develop an algorithm to come up with a line that…
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Keras-Perceptron
Keras-Perceptron PublicTo use Keras to build a perceptron based network with two input nodes and a single output node containing the sigmoid activation function. The neural network was trained with a given dataset while …
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Deep-Neural-Networks
Deep-Neural-Networks PublicThe purpose of this section was to build a deep neural network to classify nonlinear points using the sigmoid activation in the output node.
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Multiclass-Classification
Multiclass-Classification PublicTo design a basic neural network (with one input layer and one output layer.) to categorize a multiclass dataset using the Softmax activation function and evaluate its performance to validate the d…
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