References and helpful links

References and helpful/useful links used in iust_deep_fuzz project (to be updated incrementally).

Provide by: Morteza Zakeri

Code

Sequence learning

[4] Sequence Models

[3] Bright Wire

[2] The unreasonable effectiveness of Character-level Language Models

[1] The Unreasonable Effectiveness of Recurrent Neural Networks by A. Karpathy

Code coverage measurement

[2] Pin - A Binary Instrumentation Tool - Downloads

[1] Plugin for code coverage with pintool

Perplexity measurement

[6] 2012_Statistical Language Models Based on Neural Networks

[5] Perplexity

[4] What is perplexity?

[3] comparing-perplexities

[2] Computing perplexity as a metric: K.pow() doesn’t work?!

[1] how-to-calculate-perplexity-of-rnn-in-tensorflow

Papers