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 23 elements in the input layer, hence we have 25 features in this dataset. We have only one element in the output layer and we will use three hidden layers, although we could use any number of hidden layers. We will use 256 neurons for the first layer, 128 for the second, and 64 for the third one. These are the powers of two.
- Activation function: We will choose the ReLu activation function.
- Optimizing algorithm: The optimization algorithm used here is the Adam optimizer. The Adam optimizer is one of the most popular optimizers as it is the ...
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