September 2018
Beginner to intermediate
154 pages
3h 51m
English
Content preview from Mastering Predictive Analytics with scikit-learn and TensorFlow
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Elements of the DNN model
Before running the model, we first have to determine the elements that we will use in building a multilayer perceptron model, shown as follows:
- Architecture: The model contains 25 elements in the input layer because we have 25 features in the dataset. We have two elements in the output layer and we will also use three hidden layers, although we could use any number of hidden layers. We will use the same number of neurons in each layer, 200. Here we use the powers of 2, which is an arbitrary choice.
- Activation function: We will choose the ELU activation function, which was explained in the preceding chapter.
- Optimizing algorithm: The optimization algorithm used here is the Adam optimizer with a learning rate of ...
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