Advent of Code 2021 in pure TensorFlow - day 10

The day 10 challenge projects us in the world of syntax checkers and autocomplete tools. In this article, we'll see how TensorFlow can be used as a generic programming language for implementing a toy syntax checker and autocomplete.

Advent of Code 2021 in pure TensorFlow - day 9

The day 9 challenge can be seen as a computer vision problem. TensorFlow contains some computer vision utilities that we'll use - like the image gradient - but it's not a complete framework for computer vision (like OpenCV). Anyway, the framework offers primitive data types like tf.TensorArray and tf.queue that we can use for implementing a flood-fill algorithm in pure TensorFlow and solve the problem.

Advent of Code 2021 in pure TensorFlow - day 8

The day 8 challenge is, so far, the most boring challenge faced 😅. Designing a TensorFlow program - hence reasoning in graph mode - would have been too complicated since the solution requires lots of conditional branches. A known AutoGraph limitation forbids variables to be defined in only one branch of a TensorFlow conditional if the variable is used afterward. That's why the solution is in pure TensorFlow eager.

Advent of Code 2021 in pure TensorFlow - day 7

The day 7 challenge is easily solvable with the help of the TensorFlow ragged tensors. In this article, we'll solve the puzzle while learning what ragged tensors are and how to use them.