Fixed some small errors

Author: karllab41

src/notebooks/deep_clustering/DeepClustering_training.ipynb

@@ -62,6 +62,7 @@
    "source": [
     "numsources = 2\n",
     "batchsize = 256\n",
+    "fft_size = 512\n",
     "datashape = (40, fft_size//2 + 1)"
    ]
   },
@@ -293,7 +294,7 @@
     "        c_v = model.get_cost(X_vala, y_vala)\n",
     "        \n",
     "        # Check if the validation cost is below the minimum validation cost, and if so, save it.\n",
-    "        if c_v < min(v_costs) and len(iterations) > 0:\n",
+    "        if len(v_costs)> 0 and c_v < min(v_costs) and len(iterations) > 0:\n",
     "            print(\"Saving the model because c_v is\", min(v_costs) - c_v, \"below the old min.\")\n",
     "            \n",
     "            # Save the model to the specified path\n",

src/notebooks/lab41model/Lab41Model_training.ipynb

@@ -62,6 +62,7 @@
    "source": [
     "numsources = 2\n",
     "batchsize = 256\n",
+    "fft_size = 512\n",
     "datashape = (40, fft_size//2 + 1)"
    ]
   },
@@ -295,7 +296,7 @@
     "        c_v = model.get_cost(Xinv, Ydv, Idv)\n",
     "        \n",
     "        # Check if the validation cost is below the minimum validation cost, and if so, save it.\n",
-    "        if c_v < min(v_costs) and len(iterations) > 0:\n",
+    "        if if len(v_costs)>0 and c_v < min(v_costs) and len(iterations) > 0:\n",
     "            print(\"Saving the model because c_v is\", min(v_costs) - c_v, \"below the old min.\")\n",
     "            \n",
     "            # Save the model to the specified path\n",

src/notebooks/pit/PitCnn_training.ipynb

@@ -308,7 +308,7 @@
     "        c_v = sess.run(model.loss, val_data)\n",
     "        \n",
     "        # Check if the validation cost is below the minimum validation cost, and if so, save it.\n",
-    "        if len(iterations) > 0 and c_v < min(v_costs):\n",
+    "        if len(v_costs) > 0 and len(iterations) > 0 and c_v < min(v_costs):\n",
     "            print(\"Saving the model because c_v is\", min(v_costs) - c_v, \"below the old min.\")\n",
     "            \n",
     "            # Save the model to the specified path\n",