Advent of Code 2021 in pure TensorFlow - day 11
The Day 11 problem has lots in common with Day 9. In fact, will re-use some computer vision concepts like the pixel neighborhood, and we'll be able to solve both parts in pure TensorFlow by using only a tf.queue as a support data structure.
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.