update week 16

Author: mhjensen

doc/pub/week16/ipynb/week16.ipynb

@@ -22,7 +22,7 @@
     "# Advanced machine learning and data analysis for the physical sciences\n",
     "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo, Norway\n",
     "\n",
-    "Date: **May 15**"
+    "Date: **May 21**"
    ]
   },
   {
@@ -32,19 +32,14 @@
     "editable": true
    },
    "source": [
-    "## Plans for the week of May 12-16, 2025\n",
+    "## Plans for the week of May 18-22, 2026\n",
     "\n",
     "**Generative models.**\n",
     "\n",
-    "1. Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)\n",
     "\n",
-    "2. Generative Adversarial Networks, see <https://lilianweng.github.io/posts/2017-08-20-gan/> for nice overview\n",
+    "1. Generative Adversarial Networks, see <https://lilianweng.github.io/posts/2017-08-20-gan/> for nice overview\n",
     "\n",
-    "3. A summary of the course will be made available in the form of a video. The summary material can also be viewed at <https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17> in various formats (pdf, jupyter-notebook or html formats).\n",
-    "\n",
-    "4. Video of lecture at <https://youtu.be/-RppFI0QX7k>\n",
-    "\n",
-    "5. Whiteboard notes at <https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMay15.pdf>"
+    "2. A summary of the course is included in the companion PDF file, week16.pdf\n"
    ]
   },
   {
@@ -822,7 +817,10 @@
    "id": "87e0a539",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -858,7 +856,10 @@
    "id": "44452581",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -918,7 +919,10 @@
    "id": "3c6aceb1",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -947,7 +951,10 @@
    "id": "e0f28ed2",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -975,7 +982,10 @@
    "id": "c81e8f63",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1014,7 +1024,10 @@
    "id": "745c8922",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1066,7 +1079,10 @@
    "id": "e509e8b5",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1102,7 +1118,10 @@
    "id": "f9741a50",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1184,7 +1203,10 @@
    "id": "92802f2d",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1243,7 +1265,10 @@
    "id": "92073b4a",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1280,7 +1305,10 @@
    "id": "e51948d0",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1322,7 +1350,10 @@
    "id": "9469eb56",
    "metadata": {
     "collapsed": false,
-    "editable": true
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -1389,7 +1420,25 @@
    ]
   }
  ],
- "metadata": {},
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }