项目作者： vinupriyesh
项目描述 ：
Simplistic deep learning library cooked with python and numpy
高级语言： Python
项目地址: git://github.com/vinupriyesh/deeplearning-numpy.git
deeplearning-numpy
Simple deeplearning library using numpy only.
Usage
call nn.model with x and x with keyword parameters
parameters
- X : input to the model - (no. of features x no. of samples)
- Y : output of the model - (no. of classes x no. of samples)
Keyword parameters
- alpha : Learning Rate
default : 0.01 - iter : Iterations
default : 3000 - hidden_layer_dims : Hidden layer dimentions, also decides the number of hidden layers based on the length of this list
default : [] - activation : Activation function for the other layers and the last layer as a list of length 2.
supports : sigmoid, tanh, relu, leaky_relu, softmax
default : [‘tanh’,’sigmoid’] - batch_size : Mini batch size
default : X.shape[1] - dev_set_ratio : Dev set to total data-set ratio.
default : 0.02 - parameters_file : File-name for the parameters file to import incase of using/training a pretrained model.
default : None
