NoYetSelfAware

A beautiful library for DeeplLearning, with the help of numpy

About

This project is the occasion to reimplement my theoric learning as it grows.

Summary

Activation
leakyReLU	✔️
ReLU	✔️
sigmoid	✔️
tanh	✔️

Layers
Dense	✔️
Output	✔️
Dropout	⬜
Batch Normalization	⬜
Convolution	⬜
RNN	⬜
Long Short Term Memory	⬜

Optimizers
Gradient Descent	✔️
MiniBatch Gradient Descent	✔️
Stochastic Gradient Descent	✔️
Momentum	✔️
RMSprop	✔️
Adam	✔️

Validation
Confusion Matrix	⬜
Accuracy	✔️
Precision	⬜
Recall	⬜
F1_score	⬜

Cost
Binary Cross Entropy	✔️
Mean Square Error	⬜
Soft Max	⬜

Regularization
L1	⬜
L2	⬜

Learning Rate Decay
time based decay	✔️
exponential decay	⬜
staircase decay	⬜

PreProcessing
Standardization	✔️
Nomalization	⬜

PyPi Package

Installation

pip install NoYetSelfAware

or

python3 -m pip install NoYetSelfAware

Package

It's currently my first python package.

It was done following this nice tutorial: https://packaging.python.org/tutorials/packaging-projects/

Build

Make sure you have the latest versions of PyPA’s build installed:

python3 -m pip install --upgrade build

Now run this command in the root of the project:

python3 -m build

This command should output a lot of text and once completed should generate two files in the dist directory:

dist/
  NoYetSelfAware-$VERSION-py3-none-any.whl
  NoYetSelfAware-$VERSION.tar.gz

Upload to pip

Now that you are registered, you can use twine to upload the distribution packages.

You’ll need to install Twine:

python3 -m pip install --user --upgrade twine

Once installed, run Twine to upload all of the archives under dist:

twine upload dist/*

You will be prompted for a username and password.

• For the username, use __token__.
• For the password, use the token value (including the pypi- prefix).