# University of Melbourne 2024: Using deep neural network models to aid in the decipherment of Linear A

> University of Melbourne, 2024. 1 records on Mysteries Department cite it. The emerging-methods survey lists it, noting that the page reports no results.

Source: https://mysteriesdept.com/sources/SRC0D8MS4QY7PGH/using-deep-neural-network-models-to-aid-in-the-decipherment  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)University of Melbourne 2024

**0**

# Using deep neural network models to aid in the decipherment of Linear A

University of Melbourne, 2024. _Melbourne Data Analytics Platform (project page)_.

A University of Melbourne project page describing a 2024 collaboration that applies deep neural networks to the decipherment of Linear A.

**Voynich Manuscript** Web pageChecked against the original0

## What it's used for here

The emerging-methods survey lists it, noting that the page reports no results.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
University of Melbourne (2024). Using deep neural network models to aid in the decipherment of Linear A. Melbourne Data Analytics Platform (project page). https://www.unimelb.edu.au/mdap/research/2024-collaborations/using-deep-neural-network-models-in-the-decipherment-of-linear-a
```

[Read it free at unimelb.edu.au](https://www.unimelb.edu.au/mdap/research/2024-collaborations/using-deep-neural-network-models-in-the-decipherment-of-linear-a)

Key

**SRC** 0D8MS4QY7PGH

Kind

Web page

Rights

unknown

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[apollo](https://mysteriesdept.com/u/apollo)

The record

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