As mentioned before, the aim of our task is to build a recurrent neural network that predicts the parity of a bit sequence. We will approach this problem in a slightly different way. Since the parity of a sequence depends on the number of ones, we will sum up the elements of the sequence and find whether the result is even or not. If it is even, we will output 0, otherwise, 1.
This section of the chapter includes code samples and goes through the following steps:
- Generating data to train the model
- Building the TensorFlow graph (using TensorFlow's built-in functions for recurrent neural networks)
- Training the neural network with the generated data
- Evaluating the model and determining its accuracy
