A sequence-to-sequence attention reading comprehension model was implemented to fulfill Question Answering task defined in Stanford Question Answering Dataset (SQuAD). The basic structure was bidirectional LSTM (BiLSTM) encodings with attention mechanism as well as BiLSTM decoding. Several adjustments such as dropout, learning rate decay, and gradients clipping were used. Finally, the model ach...

In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software precision. This kind of weight faults can be modelled as multiplicative weight noise. This paper analyzes the capacity of a bidirectional associative memory (BAM) affected by multiplicative weight noise. Assuming that weights a...

In this work we investigate the visual appearance of real world surfaces and the dependence of appearance on imaging conditions We present a BRDF bidirec tional re ectance distribution function database with re ectance measurements for over di erent samples each observed with over di erent combinations of viewing and source directions We t the BRDF mea surements to two recent models to obtain a...