keras: multiple w_constraints
<p>I want a set of weights to be constrained to have a fixed norm (as in <code>unitnorm</code>) and non-negative values (as in <code>nonneg</code>).  This pair of constraints is useful in some kinds of optical modeling.</p>

<p>I'm not a Python expert, so I tried <code>W_constraint = nonneg(), W_constraint = maxnorm(1))</code> and got <code>SyntaxError: keyword argument repeated</code>.  Is there a better way?  Thanks in advance!</p>