  An important conjecture in knot theory relates the large-$N$, double scaling
limit of the colored Jones polynomial $J_{K,N}(q)$ of a knot $K$ to the
hyperbolic volume of the knot complement, $\text{Vol}(K)$. A less studied
question is whether $\text{Vol}(K)$ can be recovered directly from the original
Jones polynomial ($N = 2$). In this report we use a deep neural network to
approximate $\text{Vol}(K)$ from the Jones polynomial. Our network is robust
and correctly predicts the volume with $97.6\%$ accuracy when training on
$10\%$ of the data. This points to the existence of a more direct connection
between the hyperbolic volume and the Jones polynomial.
