.. _Aaron Tuor: http://sw.cs.wwu.edu/~tuora/aarontuor/ .. _Brian Hutchinson: http://fw.cs.wwu.edu/~hutchib2/ .. _David Palzer: https://cse.wwu.edu/computer-science/palzerd .. paper links .. _Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift: http://arxiv.org/pdf/1502.03167v3.pdf .. _Neural Networks and Deep Learning: http://natureofcode.com/book/chapter-10-neural-networks/ .. _Using Neural Nets to Recognize Handwritten Digits: http://neuralnetworksanddeeplearning.com/chap1.html .. _Dropout A Simple Way to Prevent Neural Networks from Overfitting: https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf .. _Training Very Deep Networks: http://arxiv.org/pdf/1507.06228v2.pdf .. _Deep Residual Learning for Image Recognition: http://arxiv.org/pdf/1512.03385v1.pdf .. convolutional nets .. _Tensorflow Deep MNIST for Experts: https://www.tensorflow.org/versions/r0.7/tutorials/mnist/pros/index.html .. _Tensorflow Convolutional Neural Networks: https://www.tensorflow.org/versions/r0.7/tutorials/deep_cnn/index.html#convolutional-neural-networks .. _ImageNet Classification with Deep Convolutional Neural Networks: http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf .. _skflow/examples/text_classification_character_cnn.py: https://github.com/tensorflow/skflow/blob/master/examples/text_classification_character_cnn.py .. _skflow/examples/text_classification_cnn.py: https://github.com/tensorflow/skflow/blob/master/examples/text_classification_cnn.py .. _Character-level Convolutional Networks for Text Classification: http://arxiv.org/pdf/1509.01626v2.pdf .. tensorflow/skflow links for use in docs .. _Tensorflow: https://www.tensorflow.org/ .. _tensorflow: https://www.tensorflow.org/ .. _tensorflow's: https://www.tensorflow.org/ .. _variable_scope: https://www.tensorflow.org/versions/r0.7/how_tos/variable_scope/index.html .. _Tensor: https://www.tensorflow.org/versions/r0.7/api_docs/python/framework.html#Tensor .. _tensor: https://www.tensorflow.org/versions/r0.7/api_docs/python/framework.html#Tensor .. _tensors: https://www.tensorflow.org/versions/r0.7/api_docs/python/framework.html#Tensor .. _skflow: https://github.com/tensorflow/skflow .. _placeholder: https://www.tensorflow.org/versions/r0.7/api_docs/python/io_ops.html#placeholders .. _Placeholder: https://www.tensorflow.org/versions/r0.7/api_docs/python/io_ops.html#placeholders .. _embedding_lookup: https://www.tensorflow.org/versions/r0.7/api_docs/python/nn.html#embeddings .. _dnn_ops.py: https://github.com/tensorflow/skflow/blob/master/skflow/ops/dnn_ops.py .. _rnn_cell.py: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/rnn_cell.py .. _nn.py: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py .. _batch_norm_ops.py: https://github.com/tensorflow/skflow/blob/master/skflow/ops/batch_norm_ops.py .. _dropout_ops.py: https://github.com/tensorflow/skflow/blob/master/skflow/ops/dropout_ops.py .. _Efficient BackProp: http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf .. _Tensor Decompositions and Applications: http://dl.acm.org/citation.cfm?id=1655230 ******************* loader ******************* Implements a general purpose data loader for python non-sequential machine learning tasks. Several common data transformations are provided in this module, e.g., tfidf, whitening, etc. .. toctree:: :maxdepth: 2 loader_tutorial.rst Loading, Saving, and Testing ============================ :any:`save` :any:`export_data` :any:`load` :any:`import_data` :any:`is_one_hot` :any:`read_data_sets` Classes ======= :any:`DataSet` :any:`DataSets` :any:`HotIndex` Data Transforms =============== :any:`center` :any:`l1normalize` :any:`l2normalize` :any:`pca_whiten` :any:`tfidf` :any:`toOnehot` :any:`toIndex` :any:`unit_variance` Exceptions ========== :any:`Bad_directory_structure_error` :any:`Mat_format_error` :any:`Sparse_format_error` :any:`Unsupported_format_error` API ====== .. automodule:: loader :members: :undoc-members: