Common mistakes made by data scientists and how to avoid them
Common mistakes data scientists make and how to avoid them.
Attention and Multi-Head Attention in NumPy.
Ha & Schmidhuber's World Models reimplemented in Tensorflow 2.0.
Finally - stable learning.
