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Comparing Neural Arithmetic Logic Units with exact and asinh versions.
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Quick experiment: What if we used asinh instead of log in Neural Arithmetic Logic Units? Idea from [reddit user fdskjfdskhfkjds](https://www.reddit.com/r/MachineLearning/comments/94833t/neural_arithmetic_logic_units/e3u974x/)
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| | NAC_exact | NALU_sinh | Relu6 | None | NAC | NALU |
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| a ^ 2 | 1.127 | 1.100 | 92.235 | 0.763 | 4.867 | 0.852 |
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| sqrt(a) | 0.951 | 0.798 | 85.603 | 0.549 | 4.589 | 0.511 |
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It appears that NALU_sinh is better at division than NALU.
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# Neural Arithmetic Logic Units
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