Updated description

examples/conditional_flow.ipynb

@@ -13,7 +13,7 @@
    "id": "4dcd74be",
    "metadata": {},
    "source": [
-    "Here, we train a conditional normalizing flow model $q(x|c)$. Our target $p(x|c)$ is a simple 2D Gaussian $\\mathcal{N}(x|\\mu, \\sigma)$, where we condition on the mean $\\mu$ and standard deviation $\\sigma$, i.e. $c = (\\mu, \\sigma)$. We apply a conditional autoregressive neural spline flow and a conditional masked autoregressive flow to the problem."
+    "Here, we train a conditional normalizing flow model $q(x|c)$. Our target $p(x|c)$ is a simple 2D Gaussian $\\mathcal{N}(x|\\mu, \\sigma)$, where we condition on the mean $\\mu$ and standard deviation $\\sigma$, i.e. $c = (\\mu, \\sigma)$. We apply conditional autoregressive and coupling neural spline flows as well as a conditional masked autoregressive flow to the problem."
    ]
   },
   {