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Building A Deep Learning Model using Keras – Towards Data Science
- The model type that we will be using is Sequential.
- It allows you to build a model layer by layer. Each layer has weights that correspond to the layer the follows it.
- Dense is a standard layer type that works for most cases. In a dense layer, all nodes in the previous layer connect to the nodes in the current layer.
- Dense’ is the layer type
- ‘Activation’ is the activation function for the layer. An activation function allows models to take into account nonlinear relationships
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