The perceptron model was the first and simplest type of neural network developed back in 1943. It works well but is certainly far from as powerful as modern neural networks with advanced layers such as the recurrent layer, convolutional layer, or customer layers. In Python using Tensorflow with the sequential API the the build a neural network in the style of a perceptron.
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Using the Tensorflow plot model function to visualize the layers in our perceptron neural network.
Use a pandas DataFrame to plot our model history with pandas plot.
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