n for Adaptive Loss Balancing in Deep Multitask Networks (ICML 2018)</a> and implemented by us.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>alpha</strong> (<em>float</em><em>, </em><em>default=1.5</em>) – The strength of the restoring force which pulls tasks back to a common training rate.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="LibMTL.weighting.GradNorm.GradNorm.init_param">
<span class="sig-name descname"><spa