Update course book

NeuromatchAcademy · Feb 18, 2024 · 39a343c · 39a343c
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diff --git a/.buildinfo b/.buildinfo
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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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+config: 09fb4996dfec79b54da73f2e49efff41
 tags: 645f666f9bcd5a90fca523b33c5a78b7
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diff --git a/_images/lunar_lander_26_1.png b/_images/lunar_lander_26_1.png
diff --git a/_panels_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css b/_panels_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css
diff --git a/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css b/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css
diff --git a/_sources/projects/ReinforcementLearning/lunar_lander.ipynb b/_sources/projects/ReinforcementLearning/lunar_lander.ipynb
diff --git a/_sources/tutorials/Schedule/shared_calendars.md b/_sources/tutorials/Schedule/shared_calendars.md
@@ -1,11 +1,15 @@
 # Shared calendars
 
-We have three google calendars to help you see events in your local time! If you open the links below, they will be in
+We have a google calendar for each time slot to help you see events in your local time! If you open the links below, they will be in
 universal coordinated time (UTC). If you click at the bottom to add to your Google Calendar, you should see them in the time zone of your google 
 calendar (probably yours)!
 
-[Zone 1/2](https://calendar.google.com/calendar/u/0/[email protected])
+[Zone 1](https://calendar.google.com/calendar/u/0/[email protected])
+
+[Zone 2](https://calendar.google.com/calendar/embed?src=c_8cb1f0fed705b06a794c89da599728c5c6df7063f8b9a9e18fb110ffa5868809%40group.calendar.google.com&ctz=UTC)
 
 [Zone 3](https://calendar.google.com/calendar/embed?src=c_r387vvjd66sg2o96cracfv5ioc%40group.calendar.google.com)
 
-[Zone 4/5](https://calendar.google.com/calendar/embed?src=c_ghv53rt8temq4gco5h0anp3ou4%40group.calendar.google.com)
+[Zone 4](https://calendar.google.com/calendar/embed?src=c_ghv53rt8temq4gco5h0anp3ou4%40group.calendar.google.com)
+
+[Zone 5](https://calendar.google.com/calendar/embed?src=c_d761087e12135d5ced4d37a6d694a53dc3c0ba6888c494f12896b88fbc7877ba%40group.calendar.google.com&ctz=UTC)
diff --git a/_sources/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/student/W3D3_Tutorial1.ipynb b/_sources/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/student/W3D3_Tutorial1.ipynb
@@ -89,29 +89,6 @@
     "# Setup"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "##  Downgrade `pytorch` to avoid CUDA Memory allocation error.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "cellView": "form",
-    "execution": {},
-    "tags": [
-     "hide-input"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# @title Downgrade `pytorch` to avoid CUDA Memory allocation error.\n",
-    "#!pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 torchtext==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113 --quiet"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1186,7 +1163,7 @@
     "```\n",
     "Network performance after 10 encoder and classifier training epochs (chance: 33.33%):\n",
     "    Training accuracy: 100.00%\n",
-    "    Testing accuracy: 98.67%\n",
+    "    Testing accuracy: 98.70%\n",
     "````"
    ]
   },
@@ -1230,7 +1207,7 @@
     "execution": {}
    },
    "source": [
-    "When the classifier is trained with an encoder network, however, it achieves very high classification accuracy (98.72%) on the test set, after only 10 training epochs."
+    "When the classifier is trained with an encoder network, however, it achieves very high classification accuracy (~98.70%) on the test set, after only 10 training epochs."
    ]
   },
   {
@@ -1243,7 +1220,7 @@
     "\n",
     "| _Chance_ |  | None (raw data) | Supervised |\n",
     "| - | - | --- | --- |\n",
-    "| _33.33%_ |  | 39.55% | 98.67% |"
+    "| _33.33%_ |  | 39.55% | 98.70% |"
    ]
   },
   {
@@ -1824,6 +1801,10 @@
    },
    "source": [
     "[*Click for solution*](https://github.com/NeuromatchAcademy/course-content-dl/tree/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/solutions/W3D3_Tutorial1_Solution_f066182b.py)\n",
+    "\n",
+    "*Example output:*\n",
+    "\n",
+    "<img alt='Solution hint' align='left' width=1032.0 height=522.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content-dl/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/static/W3D3_Tutorial1_Solution_f066182b_1.png>\n",
     "\n"
    ]
   },
@@ -2019,6 +2000,10 @@
    },
    "source": [
     "[*Click for solution*](https://github.com/NeuromatchAcademy/course-content-dl/tree/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/solutions/W3D3_Tutorial1_Solution_16901ca7.py)\n",
+    "\n",
+    "*Example output:*\n",
+    "\n",
+    "<img alt='Solution hint' align='left' width=774.0 height=575.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content-dl/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/static/W3D3_Tutorial1_Solution_16901ca7_3.png>\n",
     "\n"
    ]
   },
@@ -2064,7 +2049,7 @@
     "\n",
     "| _Chance_ |  | None (raw data) | Supervised | Random |\n",
     "| - | - | --- | --- | --- |\n",
-    "| _33.33%_ |  | 39.55% | 98.67% | 44.67% |"
+    "| _33.33%_ |  | 39.55% | 98.70% | 44.67% |"
    ]
   },
   {
@@ -2578,6 +2563,10 @@
    },
    "source": [
     "[*Click for solution*](https://github.com/NeuromatchAcademy/course-content-dl/tree/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/solutions/W3D3_Tutorial1_Solution_b605b4ed.py)\n",
+    "\n",
+    "*Example output:*\n",
+    "\n",
+    "<img alt='Solution hint' align='left' width=774.0 height=575.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content-dl/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/static/W3D3_Tutorial1_Solution_b605b4ed_3.png>\n",
     "\n"
    ]
   },
@@ -2623,7 +2612,7 @@
     "\n",
     "| _Chance_ |  | None (raw data) | Supervised | Random | VAE |\n",
     "| - | - | --- | --- | --- | --- |\n",
-    "| _33.33%_ |  | 39.55% | 98.67% | 44.67% | 45.75% |"
+    "| _33.33%_ |  | 39.55% | 98.70% | 44.67% | 45.75% |"
    ]
   },
   {
@@ -3258,7 +3247,7 @@
     "\n",
     "| _Chance_ |  | None (raw data) | Supervised | Random | VAE | SimCLR |\n",
     "| - | - | --- | --- | --- | --- | --- |\n",
-    "| _33.33%_ |  | 39.55% | 98.67% | 44.67% | 45.75% | 97.53% |"
+    "| _33.33%_ |  | 39.55% | 98.70% | 44.67% | 45.75% | 97.53% |"
    ]
   },
   {
@@ -4312,6 +4301,12 @@
    },
    "source": [
     "[*Click for solution*](https://github.com/NeuromatchAcademy/course-content-dl/tree/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/solutions/W3D3_Tutorial1_Solution_8da89b74.py)\n",
+    "\n",
+    "*Example output:*\n",
+    "\n",
+    "<img alt='Solution hint' align='left' width=1519.0 height=530.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content-dl/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/static/W3D3_Tutorial1_Solution_8da89b74_1.png>\n",
+    "\n",
+    "<img alt='Solution hint' align='left' width=778.0 height=578.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content-dl/main/tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/static/W3D3_Tutorial1_Solution_8da89b74_2.png>\n",
     "\n"
    ]
   },
@@ -4496,7 +4491,7 @@
     "\n",
     "| _Chance_ |  | None (raw data) | Supervised | Random | VAE | SimCLR | SimCLR (few neg.pairs) |\n",
     "| - | - | --- | --- | --- | --- | --- | --- |\n",
-    "| _33.33%_ |  | 39.55% | 98.67% | 44.67% | 45.75% | 97.53% | 66.75% |"
+    "| _33.33%_ |  | 39.55% | 98.70% | 44.67% | 45.75% | 97.53% | 66.75% |"
    ]
   },
   {

diff --git a/_sphinx_design_static/design-style.4045f2051d55cab465a707391d5b2007.min.css b/_sphinx_design_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
diff --git a/_sphinx_design_static/design-tabs.js b/_sphinx_design_static/design-tabs.js
@@ -0,0 +1,27 @@
+var sd_labels_by_text = {};
+
+function ready() {
+  const li = document.getElementsByClassName("sd-tab-label");
+  for (const label of li) {
+    syncId = label.getAttribute("data-sync-id");
+    if (syncId) {
+      label.onclick = onLabelClick;
+      if (!sd_labels_by_text[syncId]) {
+        sd_labels_by_text[syncId] = [];
+      }
+      sd_labels_by_text[syncId].push(label);
+    }
+  }
+}
+
+function onLabelClick() {
+  // Activate other inputs with the same sync id.
+  syncId = this.getAttribute("data-sync-id");
+  for (label of sd_labels_by_text[syncId]) {
+    if (label === this) continue;
+    label.previousElementSibling.checked = true;
+  }
+  window.localStorage.setItem("sphinx-design-last-tab", syncId);
+}
+
+document.addEventListener("DOMContentLoaded", ready, false);
diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js
@@ -0,0 +1,134 @@
+/*
+ * _sphinx_javascript_frameworks_compat.js
+ * ~~~~~~~~~~
+ *
+ * Compatability shim for jQuery and underscores.js.
+ *
+ * WILL BE REMOVED IN Sphinx 6.0
+ * xref RemovedInSphinx60Warning
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+    if (!x) {
+        return x
+    }
+    return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+    if (typeof s === 'undefined')
+        s = document.location.search;
+    var parts = s.substr(s.indexOf('?') + 1).split('&');
+    var result = {};
+    for (var i = 0; i < parts.length; i++) {
+        var tmp = parts[i].split('=', 2);
+        var key = jQuery.urldecode(tmp[0]);
+        var value = jQuery.urldecode(tmp[1]);
+        if (key in result)
+            result[key].push(value);
+        else
+            result[key] = [value];
+    }
+    return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+    function highlight(node, addItems) {
+        if (node.nodeType === 3) {
+            var val = node.nodeValue;
+            var pos = val.toLowerCase().indexOf(text);
+            if (pos >= 0 &&
+                !jQuery(node.parentNode).hasClass(className) &&
+                !jQuery(node.parentNode).hasClass("nohighlight")) {
+                var span;
+                var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+                if (isInSVG) {
+                    span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+                } else {
+                    span = document.createElement("span");
+                    span.className = className;
+                }
+                span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+                node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+                    document.createTextNode(val.substr(pos + text.length)),
+                    node.nextSibling));
+                node.nodeValue = val.substr(0, pos);
+                if (isInSVG) {
+                    var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+                    var bbox = node.parentElement.getBBox();
+                    rect.x.baseVal.value = bbox.x;
+                    rect.y.baseVal.value = bbox.y;
+                    rect.width.baseVal.value = bbox.width;
+                    rect.height.baseVal.value = bbox.height;
+                    rect.setAttribute('class', className);
+                    addItems.push({
+                        "parent": node.parentNode,
+                        "target": rect});
+                }
+            }
+        }
+        else if (!jQuery(node).is("button, select, textarea")) {
+            jQuery.each(node.childNodes, function() {
+                highlight(this, addItems);
+            });
+        }
+    }
+    var addItems = [];
+    var result = this.each(function() {
+        highlight(this, addItems);
+    });
+    for (var i = 0; i < addItems.length; ++i) {
+        jQuery(addItems[i].parent).before(addItems[i].target);
+    }
+    return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+    jQuery.uaMatch = function(ua) {
+        ua = ua.toLowerCase();
+
+        var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+            /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+            /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+            /(msie) ([\w.]+)/.exec(ua) ||
+            ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+            [];
+
+        return {
+            browser: match[ 1 ] || "",
+            version: match[ 2 ] || "0"
+        };
+    };
+    jQuery.browser = {};
+    jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}