• OS: Ubuntu 20.04
• PyQt version: pyqt5==5.10.1

It would be nice to mention the dependency on libxml2-dev libxslt1-dev in the docs when building from source on Ubuntu.

I understand that these two python files show two different methods to construct a model. The original n_epoch is 500 which works perfect for both python files. But if I change n_epoch to 20, only tutorial_mnist_mlp_static.py can achieve a high test accuracy (~0.97). The other file tutorial_mnist_mlp_static_2.py only get 0.47.

The models built from these two files looks the same for me (the s

Thank you for the great effort, you are putting into this project :) There is, however, a feature I miss; rotated bounding boxes. Especially when objects are thin and diagonal, an ordinary bounding box fits poorly. Examples of such cases are shown here: rotated bounding boxes

A way annotation could be

Describe the bug

Guide under Tensorflow.js heading needs an update, 'names' flag changed to 'name_policy ' according to latest commit?

Under supported layers heading, ConvTrsnpose2d==ConvTranspose2d?

Have you changed the basic TENSORBOX to run on multiclass? If you did, do you have some documentation on how to use your updated version of TENSORBOX with multiclass? If you didn't, on which network do you base your multiclass detection, is it YOLO? And what was the purpose of using TENSORBOX?
Thank you...

Python has a test package which can shadow the import of the test.py module, leading to an ImportError when importing NN or kNN.

https://docs.python.org/2.7/library/test.html?highlight=test#module-test
https://docs.python.org/3.5/library/test.html

I suggest to rename it to test_embedding.py or something like that.