Metadata-Version: 1.0
Name: nnkit
Version: 1.3
Summary: NNKit: A dynamic neural network framework.
Home-page: http://github.com/saldavonschwartz/nnkit.git
Author: Federico Saldarini
Author-email: fede@0xfede.io
License: MIT
Description: # NNKit: A dynamic neural network framework.
        
        NNKit is a framework for training neural network models.
        
        It is based on the concept of dynamic computation graphs, where graphs are implicitly generated
        on each forward pass as nodes are passed into other nodes as inputs
        
        This dynamic approach makes it practical to implement recurrent topologies for varying length
        inputs and allows generating graphs with a minimal amount of code.
        
        #### Modules
        The following is a list of net nodes and optimizers in the framework, along with the framework
        version in which they were added.
        
        ## activation:
        * ReLU (1.0)
        * LReLU (1.0)
        * Sigmoid (1.0)
        * Tanh (1.0)
        * Softmax (1.0)
        
        ## arithmetic:
        * Multiply (1.0)
        * Add (1.0)
        
        ## loss:
        * L1 (1.0)
        * L2 (1.0)
        * Cross Entropy (1.0)
        
        ## normalization:
        * Batch Normalization (1.0)
        
        ## regularization:
        * L2 (1.0)
        * Dropout (1.0)
        
        ## training:
        * Gradient descent w/ momentum (1.0)
        * Adam / RMSProp (1.0)
        
        
        
Keywords: neural networks ai AI
Platform: UNKNOWN
