Created using Colab

Author: ilmcconnell

colab_notebooks/Notebook05_Train_ANNs_PyTorch.ipynb

@@ -48,11 +48,11 @@
         "print('done')\n"
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@@ -1253,7 +1253,9 @@
         "id": "_WUjr_vHLGah"
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       "source": [
-        "Voila! NB: The classifier ANN model from the paper was trained with different hyperparamters such as using MAE/L1Loss as the loss function, and Adam as the optimizer, not BCELoss as our models in this notebook. That leads to the different performance.\n",
+        "Voila!\n",
+        "\n",
+        "NB: The classifier ANN model from the paper was trained with different hyperparamters such as using MAE/L1Loss as the loss function, and Adam as the optimizer (not BCELoss / RMSProp as our models in this notebook). Those differences result in different model performance.\n",
         "\n",
         "\n",
         "Now you can hopefully do end-to-end neural networks. The next notebook will jump into convolutions.\n"