Adjusted Tutorial Notebook

- Some markdown didn't make sense talking about TPs, FPs, FNs, and TNs in the context of the spectrogram_visualization() changes

PyHa_Tutorial.ipynb

@@ -1681,11 +1681,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Graph with Both Automated and Human Labels \n",
-    "    Orange ==> True Positive\n",
-    "    Red ==> False Negative\n",
-    "    Yellow ==> False Positive\n",
-    "    White ==> True Negative"
+    "### Graph with Both Automated and Human Labels "
    ]
   },
   {
@@ -1699,7 +1695,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f4acd53b710> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n"
+      "WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7ff7dd73cdd0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n"
      ]
     },
     {