update

README.md

@@ -355,6 +355,7 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
 ###  Week 42 October 18-22
 - Lab Wednesday: Work on project 2
 - Lecture Thursday: Solving differential equations with neural networks and start Convolutional Neural Networks and classification problems
+  - Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober21.mp4?vrtx=view-as-webpage
 - Lecture Friday: Convolutional Neural Networks and classification problems
 - Reading recommendations:
   - See lecture notes for week 42 at https://compphysics.github.io/MachineLearning/doc/web/course.html.

doc/LectureNotes/_build/jupyter_execute/Clustering.ipynb

@@ -475,7 +475,7 @@
      "output_type": "stream",
      "text": [
       "Converged at iteration 5\n",
-      "Runtime: 0.4787557125091553 seconds\n"
+      "Runtime: 0.5011799335479736 seconds\n"
      ]
     }
    ],
@@ -604,7 +604,7 @@
      "output_type": "stream",
      "text": [
       "Converged at iteration: 5\n",
-      "Runtime: 0.4250478744506836 seconds\n"
+      "Runtime: 0.4376199245452881 seconds\n"
      ]
     }
    ],
@@ -745,7 +745,7 @@
      "output_type": "stream",
      "text": [
       "Converged at iteration: 11\n",
-      "Runtime: 0.8499350547790527 seconds\n",
+      "Runtime: 0.8795850276947021 seconds\n",
       " "
      ]
     }
@@ -877,7 +877,7 @@
      "output_type": "stream",
      "text": [
       "Converged at iteration: 5\n",
-      "Runtime: 0.003952980041503906 seconds\n"
+      "Runtime: 0.003922939300537109 seconds\n"
      ]
     }
    ],

doc/LectureNotes/_build/jupyter_execute/chapter10.ipynb

@@ -2284,15 +2284,15 @@
       "Learning rate  =  0.1\n",
       "Lambda =  1e-05\n",
       "Accuracy score on test set:  0.9111111111111111\n",
-      "\n"
+      "\n",
+      "Learning rate  =  0.1\n",
+      "Lambda =  0.0001\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Learning rate  =  0.1\n",
-      "Lambda =  0.0001\n",
       "Accuracy score on test set:  0.9222222222222223\n",
       "\n",
       "Learning rate  =  0.1\n",
@@ -2400,13 +2400,7 @@
       "Learning rate  =  10.0\n",
       "Lambda =  0.01\n",
       "Accuracy score on test set:  0.08888888888888889\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "\n",
       "Learning rate  =  10.0\n",
       "Lambda =  0.1\n",
       "Accuracy score on test set:  0.10555555555555556\n",

doc/LectureNotes/schedule.md

@@ -124,6 +124,7 @@ For the reading assignments we use the following abbreviations:
 ###  Week 42 October 18-22
 - Lab Wednesday: Work on project 2
 - Lecture Thursday: Solving differential equations with neural networks and start Convolutional Neural Networks and classification problems
+  - Vieo of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober21.mp4?vrtx=view-as-webpage
 - Lecture Friday: Convolutional Neural Networks and classification problems
 - Reading recommendations:
   - See lecture notes for week 42 at https://compphysics.github.io/MachineLearning/doc/web/course.html.