OPE Prop Library is a lightweight library designed for creating simple Deep Learning models with the new OPE Prop backpropagation algorithm. This library is quite optimized and efficient, so it can also be used for solving problems and developing Deep Learning models.

Here is an example of constructing a model using OPE Prop:

require 'opeprop' model = OPEProp::Model.new model.add_layer Layer.new(10) model.add_layer Layer.new(1) model.build input_shape: 1 model.predict([1])

Start your journey with OPE Prop Library by installing it.