In bitcoin mining, blocks, private keys, and public keys there can be found some connection to SHA256 mentioned somewhere. This makes SHA256 interesting to investigate. In this article we are going to focus on SHA256. We will dive into the code of SHA256, while also investigating the semantics of the cryptographic hash function. We will also break SHA256 down to its basic components and do some machine learning for fun.

TensorFlow Text provides a collection of text related classes and ops ready to use with TensorFlow 2.0. The library can perform the preprocessing regularly required by text-based models, and includes other features useful for sequence modeling not provided by core TensorFlow. The benefit of using these ops in your text preprocessing is that they are done in the TensorFlow graph. You do not need to worry about tokenization in training being different than the tokenization at inference, or managing preprocessing scripts. TensorFlow Text is compatible with both TensorFlow eager mode and graph mode.