Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
neural network, which consists of two linear layers (feedforward1 and feedforward2) with a ReLU activation in between. We add the normalized output to the feedforward output and apply dropout using dropout2. This is another residual connection. We apply layer normalization to the final residual