The starting points of this paper are two size-optimal solutions: (i) one for implementing arbitrary Boolean functions [1]; and (ii) another one for implem.

The starting points of this paper are two size-optimal solutions: (i) one for implementing arbitrary Boolean functions [1]; and (ii) another one for ...

The starting points of this paper are two size-optimal solutions: (i) one for implementing arbitrary Boolean functions [1]; and (ii) another one for ...

DEEPER SPARSELY NETS ARE SIZE-OPTIMAL. : VALERIU BEIU, NIS ... All of these support the claim that small constant fan-in NNs can be size- and VLSI-optimal.

It is proved that size-optimal solutions are obtained for small constant fan-in for both constructions, while relative minimum size solutions can be ...

The starting points of this paper are two size-optimal solutions:(i) one for implementing arbitrary Boolean functions [1]; and (ii) another one for implementing ...

The starting points of this paper are two size-optimal solutions: (i) one for implementing arbitrary Boolean functions [1]; and (ii) another one for ...

Fingerprint. Dive into the research topics of 'Deeper sparsely nets can be optimal'. Together they form a unique fingerprint.

Nov 10, 2016 · Adding a convolutional layer, a pooling layer, and two additional fully connected feed-forward hidden layer achieves 91% accuracy on the same ...

In this work, we introduce a hybrid-grained feature interaction selection approach that targets both feature field and feature value for deep sparse networks.