# README This repo **is a fork of original** repo, copied for experiments. All actual development is going in original repo. ### Some file and methods names: TNNF - Tiny Neural Net Framework (All files and classes) Online auto-generated docs: http://tnnf.readthedocs.org/en/latest/index.html ### Features: + feedforward neural nets + lstm neural nets + maxout + softmax + sigmoid + dropout + unsupervised feature learning and deep learning + saving and loading models + rmsProp + rProp + minibatches + PCA whitening + convolution ### All CORE files of library: fTheanoNNclassCORE.py - main theano neural net class fSimpleTest.py - simple tests for framework methods and functions fSimpleExperiments.py - file for different trash experiments with framework fGraphBuilder.py - methods for building graphic, such as "train error" or "cv error" fDataWorkerCORE.py - all data manipulation methods fCutClassCORE.py - methods which could be usefuul for working with images (can cut them for squares etc.) ### For using test or examples you may need MNIST dataset which not contained in repo. U can download it here: http://yann.lecun.com/exdb/mnist/ - original http://www.pjreddie.com/projects/mnist-in-csv/ - in csv format ###