Once you have created the class for your Neural Network, you just need to instantiate it to create your model. Notice how the densenet layer is treated as a single layer inside the forward() method. In the following example we are creating a Neural Network class by making use of the densenet layer we created in the previous example. Once you have made use of the Sequential API to create the architecture of the Neural Network, you have to define the flow of data through this architecture inside the forward() method. It is inside the constructor of the class that you make of the Sequential API. Python programs are run directly in the browsera great way to learn and use TensorFlow. This tutorial is a Google Colaboratory notebook.
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