multi_head

Transformer is a Deep Neural Network Architecture based i.a. on the Attention mechanism (Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>).

Bastiaan Quast

transformer

Implementation of Transformer Deep Neural Network with Vignettes

multi_head function

<dl><dt>Q</dt>
<dd>queries</dd>
<dt>K</dt>
<dd>keys</dd>
<dt>V</dt>
<dd>values</dd>
<dt>d_model</dt>
<dd>dimensions of the model</dd>
<dt>num_heads</dt>
<dd>number of heads</dd>
<dt>mask</dt>
<dd>optional mask</dd></dl>

Arguments

Multi-Headed Attention — multi_head

<dl>

<dt>Q</dt>
<dd>queries</dd>


<dt>K</dt>
<dd>keys</dd>


<dt>V</dt>
<dd>values</dd>


<dt>d_model</dt>
<dd>dimensions of the model</dd>


<dt>num_heads</dt>
<dd>number of heads</dd>


<dt>mask</dt>
<dd>optional mask</dd>

</dl>

multi_head: Multi-Headed Attention

Description

Usage

Value

Arguments