fix typo

Author: JanFSchulte

part7a_bitstream.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Part 7a: Bitstream Generation\n",
     "\n",
-    "In the previous sections we've seen how to train a Neural Network with a small resource footprint using QKeras, then to convert it to `hls4ml` and create an IP. That IP can be interfaced into a larger design to deploy on an FPGA device. In this section, we introduce the `VivadoAccelerator` backend of `hls4ml`, where we can easily target some supported devices to get up and running quickly. Specifically, we'll deploy the model on a [pynq-z2 board](http://www.pynq.io/). NOTE: This tutorial reuires on Vivado HLS instead of Vitis."
+    "In the previous sections we've seen how to train a Neural Network with a small resource footprint using QKeras, then to convert it to `hls4ml` and create an IP. That IP can be interfaced into a larger design to deploy on an FPGA device. In this section, we introduce the `VivadoAccelerator` backend of `hls4ml`, where we can easily target some supported devices to get up and running quickly. Specifically, we'll deploy the model on a [pynq-z2 board](http://www.pynq.io/). NOTE: This tutorial requires on Vivado HLS instead of Vitis."
    ]
   },
   {