We will now look at a simple, fun example, to generate Linux kernel code using an RNN. The complete Jupyter Notebook for this example is available in the book's code repository, under Chapter08. For the training data, we will first extract the kernel code from the Linux source. You can download the latest (or an earlier) version of the Linux kernel from the kernel archives at https://www.kernel.org/.
We will extract the tar file and use only the core kernel under the kernel/directory in the source. Execute the following from the root directory of the kernel tree to extract code from all of the *.c files:
cd kernelfind . -name "*.c" -exec cat >> /tmp/kernel.txt {} \;
This will concatenate all of ...
