Fixed 2 typos on the Neural_Receiver.ipynb notebook (#406)

Just fixed 2 typos on the Neural Receiver notebook. I substituted "receover" with "receiver"

Signed-off-by: Pablo Suárez <[email protected]>

examples/Neural_Receiver.ipynb

@@ -543,7 +543,7 @@
     "\n",
     "######################################\n",
     "## Receiver       \n",
-    "# The neural receover computes LLRs from the frequency domain received symbols and N0\n",
+    "# The neural receiver computes LLRs from the frequency domain received symbols and N0\n",
     "y = tf.squeeze(y, axis=1)\n",
     "llr = neural_receiver([y, no])\n",
     "print(\"llr shape: \", llr.shape)\n",
@@ -755,7 +755,7 @@
     "            no_eff_= expand_to_rank(no_eff, tf.rank(x_hat))\n",
     "            llr = self._demapper([x_hat, no_eff_]) # Demapping\n",
     "        elif self._system == \"neural-receiver\":\n",
-    "            # The neural receover computes LLRs from the frequency domain received symbols and N0\n",
+    "            # The neural receiver computes LLRs from the frequency domain received symbols and N0\n",
     "            y = tf.squeeze(y, axis=1)\n",
     "            llr = self._neural_receiver([y, no])\n",
     "            llr = insert_dims(llr, 2, 1) # Reshape the input to fit what the resource grid demapper is expected\n",