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Exercise

Dense layers

Once you have an Input layer, the next step is to add a Dense layer.

Dense layers learn a weight matrix, where the first dimension of the matrix is the dimension of the input data, and the second dimension is the dimension of the output data. Recall that your Input layer has a shape of 1. In this case, your output layer will also have a shape of 1. This means that the Dense layer will learn a 1x1 weight matrix.

In this exercise, you will add a dense layer to your model, after the input layer.

Instructions

100 XP
  • Import the Dense layer function from keras.layers.
  • Create a Dense layer with 1 unit.
  • Pass input_tensor to output_layer().