futurely
futurely
According to many recent researches, the most powerful neural networks are no longer stacked layers but rather arbitrarily complex graphs, e.g. the bunches of [advanced recursive neural networks](http://cs224d.stanford.edu/lectures/CS224d-Lecture10.pdf), Facebook AI...
Microsoft Research's ["Computational Networks A Generalization of Deep Learning Models"](http://research.microsoft.com/en-US/people/kaisheny/cntk-tutorial-icassp2015-20150419.pdf) presented its open source deep learning framework CNTK as    
The Graph or Network class is not needed at all. Here's a [simple illustration](https://www.topcoder.com/community/data-science/data-science-tutorials/introduction-to-graphs-and-their-data-structures-section-1/): ``` structure node [list of nodes] neighbors [data] end cost(X, Y) := if (X.neighbors contains Y)...
Examples of RBM implemented with high level math API from cudamat are as follows. https://github.com/cudamat/cudamat/blob/master/examples/rbm_cudamat.py https://github.com/cudamat/cudamat/blob/master/examples/rbm_numpy.py
Caffe creator's plan on "[Improving Caffe: Some Refactoring](http://tutorial.caffe.berkeleyvision.org/caffe-cvpr15-improving.pdf)".
Minerva's [DAG and operators based implementation](https://github.com/dmlc/minerva/tree/master/minerva).
https://github.com/tensorflow/tensorflow/issues/312 https://github.com/tensorflow/tensorflow/issues/7244
Is it possible to use TensorFlow Transform, Apache Beam or other frameworks to generate features?
The test results on the 300-W IBUG dataset using the provided jointly learned models for multi-view facial landmark detection are completely inaccurate. Two of the best ones are shown below....