tensorflow-nalu
| 
42 | 
0 | 
0
A tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al. Paper: https://arxiv.org/abs/1808.00508
The NALU cell proposed in the paper had a major drawback that it can't model multiplication of negative inputs since multiplication is implemented as addition in log-space.
A solution to this was to avoid working in the log-space of the inputs and instead use the asinh function as porposed here: https://www.reddit.com/r/MachineLearning/comments/94833t/neural_arithmetic_logic_units/e3u974x/
from nalu.layers.nalu_layer import NaluLayer nalu_layer = NaluLayer(FEATURES_NUM, OUTPUT_DIM, HIDDEN_DIM, N_CELLS, CORE_CELL_TYPE) outputs = nalu_layer(input)
上一篇：nalu.pytorch
下一篇：NALUnit.js
还没有评论，说两句吧！
热门资源
seetafaceJNI
项目介绍 基于中科院seetaface2进行封装的JAVA...
spark-corenlp
This package wraps Stanford CoreNLP annotators ...
Keras-ResNeXt
Keras ResNeXt Implementation of ResNeXt models...
capsnet-with-caps...
CapsNet with capsule-wise convolution Project ...
inferno-boilerplate
This is a very basic boilerplate example for pe...
智能在线
400-630-6780
聆听.建议反馈
E-mail: support@tusaishared.com
资源分类
