Need&quot;.</span>
<span class="sd">    Fully connected feed-forward network, which is applied to each position separately and identically.</span>
<span class="sd">    This consists of two linear transformations with a ReLU activation in between.</span>
<span class="sd">    Another way of describing this is as two convolutions with kernel size 1.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self<