DeepBay
December 22, 2019 ยท View on GitHub
DeepBay
This project was created with the objective of compile Machine Learning Architectures created using Tensorflow or Keras. The architectures must be provided as a ready-to-use Plug-and-Play module that can be easily integrated into any existing project or architecture design.
Installation
You can use pip for install this from PyPi:
pip install deepbay
Quick Start
You can use any architecture inside deepbay as an self-contained model ready to be trained:
import tensorflow as tf
import deepbay
denseblock = deepbay.DenseBlock(units=1)
Or you can integrate it to any existing architecture, just use it as any other keras layer:
import tensorflow as tf
import deepbay
model = tf.keras.models.Sequential()
model.add(deepbay.DenseBlock(units=1))
Keep an eye on input/output shapes, you can found them in the class documentation inside every module