Adding videos Tutorial 15-17

hanskyy · Oct 10, 2021 · 524b26d · 524b26d
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Showing 4 changed files with 18 additions and 9 deletions.
diff --git a/docs/tutorial_notebooks/tutorial15/Vision_Transformer.ipynb b/docs/tutorial_notebooks/tutorial15/Vision_Transformer.ipynb
@@ -13,7 +13,9 @@
     "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial15/Vision_Transformer.ipynb)   \n",
     "**Pre-trained models:** \n",
     "[![View files on Github](https://img.shields.io/static/v1.svg?logo=github&label=Repo&message=View%20On%20Github&color=lightgrey)](https://github.com/phlippe/saved_models/tree/main/tutorial15)\n",
-    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1BmisSPs5BXQKpolyHp5X4klSAhpDx479?usp=sharing)"
+    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1BmisSPs5BXQKpolyHp5X4klSAhpDx479?usp=sharing)   \n",
+    "**Recordings:** \n",
+    "[![YouTube - Part 1](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%201&color=red)](https://youtu.be/4UyBxlJChfc)"
    ]
   },
   {

diff --git a/docs/tutorial_notebooks/tutorial16/Meta_Learning.ipynb b/docs/tutorial_notebooks/tutorial16/Meta_Learning.ipynb
@@ -13,7 +13,11 @@
     "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial16/Meta_Learning.ipynb)  \n",
     "**Pre-trained models:** \n",
     "[![View files on Github](https://img.shields.io/static/v1.svg?logo=github&label=Repo&message=View%20On%20Github&color=lightgrey)](https://github.com/phlippe/saved_models/tree/main/tutorial16)\n",
-    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1GKCVDr5Mz3gLzyEaDLEikfOtaNZhZ6xh?usp=sharing)"
+    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1GKCVDr5Mz3gLzyEaDLEikfOtaNZhZ6xh?usp=sharing)     \n",
+    "**Recordings:** \n",
+    "[![YouTube - Part 1](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%201&color=red)](https://youtu.be/035rkmT8FfE)\n",
+    "[![YouTube - Part 2](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%202&color=red)](https://youtu.be/LhZGPOtTd_Y)\n",
+    "[![YouTube - Part 3](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%202&color=red)](https://youtu.be/xKcA6g-esH4)"
    ]
   },
   {
@@ -2114,7 +2118,7 @@
     "data_feats = None\n",
     "for k in [2, 4, 8, 16, 32]:\n",
     "    protonet_accuracies[k], data_feats = test_proto_net(protonet_model, test_set, data_feats=data_feats, k_shot=k)\n",
-    "    print(f\"Accuracy for {k=}: {100.0*protonet_accuracies[k][0]:4.2f}% (+-{100*protonet_accuracies[k][1]:4.2f}%)\")"
+    "    print(f\"Accuracy for k={k}: {100.0*protonet_accuracies[k][0]:4.2f}% (+-{100*protonet_accuracies[k][1]:4.2f}%)\")"
    ]
   },
   {
@@ -3874,7 +3878,7 @@
     "        json.dump(protomaml_accuracies, f, indent=4)\n",
     "\n",
     "for k in protomaml_accuracies:\n",
-    "    print(f\"Accuracy for {k=}: {100.0*protomaml_accuracies[k][0]:4.2f}% (+-{100.0*protomaml_accuracies[k][1]:4.2f}%)\")"
+    "    print(f\"Accuracy for k={k}: {100.0*protomaml_accuracies[k][0]:4.2f}% (+-{100.0*protomaml_accuracies[k][1]:4.2f}%)\")"
    ]
   },
   {
@@ -6064,7 +6068,7 @@
     "data_feats = None\n",
     "for k in [2, 4, 8, 16, 32]:\n",
     "    protonet_svhn_accuracies[k], data_feats = test_proto_net(protonet_model, svhn_fewshot_dataset, data_feats=data_feats, k_shot=k)\n",
-    "    print(f\"Accuracy for {k=}: {100.0*protonet_svhn_accuracies[k][0]:4.2f}% (+-{100*protonet_svhn_accuracies[k][1]:4.2f}%)\")"
+    "    print(f\"Accuracy for k={k}: {100.0*protonet_svhn_accuracies[k][0]:4.2f}% (+-{100*protonet_svhn_accuracies[k][1]:4.2f}%)\")"
    ]
   },
   {
@@ -6109,7 +6113,7 @@
     "        json.dump(protomaml_svhn_accuracies, f, indent=4)\n",
     "\n",
     "for k in protomaml_svhn_accuracies:\n",
-    "    print(f\"Accuracy for {k=}: {100.0*protomaml_svhn_accuracies[k][0]:4.2f}% (+-{100.0*protomaml_svhn_accuracies[k][1]:4.2f}%)\")"
+    "    print(f\"Accuracy for k={k}: {100.0*protomaml_svhn_accuracies[k][0]:4.2f}% (+-{100.0*protomaml_svhn_accuracies[k][1]:4.2f}%)\")"
    ]
   },
   {

diff --git a/docs/tutorial_notebooks/tutorial17/SimCLR.ipynb b/docs/tutorial_notebooks/tutorial17/SimCLR.ipynb
@@ -6,14 +6,17 @@
    "source": [
     "# Tutorial 17: Self-Supervised Contrastive Learning with SimCLR\n",
     "\n",
-    "![Status](https://img.shields.io/static/v1.svg?label=Status&message=First%20version&color=yellow)\n",
+    "![Status](https://img.shields.io/static/v1.svg?label=Status&message=Finished&color=green)\n",
     "\n",
     "**Filled notebook:** \n",
     "[![View on Github](https://img.shields.io/static/v1.svg?logo=github&label=Repo&message=View%20On%20Github&color=lightgrey)](https://github.com/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial17/SimCLR.ipynb)\n",
     "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial17/SimCLR.ipynb)  \n",
     "**Pre-trained models:** \n",
     "[![View files on Github](https://img.shields.io/static/v1.svg?logo=github&label=Repo&message=View%20On%20Github&color=lightgrey)](https://github.com/phlippe/saved_models/tree/main/tutorial17)\n",
-    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1BmisSPs5BXQKpolyHp5X4klSAhpDx479?usp=sharing)"
+    "[![GoogleDrive](https://img.shields.io/static/v1.svg?logo=google-drive&logoColor=yellow&label=GDrive&message=Download&color=yellow)](https://drive.google.com/drive/folders/1BmisSPs5BXQKpolyHp5X4klSAhpDx479?usp=sharing)     \n",
+    "**Recordings:** \n",
+    "[![YouTube - Part 1](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%201&color=red)](https://youtu.be/waVZDFR-06U)\n",
+    "[![YouTube - Part 2](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%202&color=red)](https://youtu.be/o3FktysLLd4)"
    ]
   },
   {

diff --git a/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch.ipynb b/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch.ipynb
@@ -13,7 +13,7 @@
     "[![Open filled In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch.ipynb)  \n",
     "**Empty notebook:** \n",
     "[![View empty on Github](https://img.shields.io/static/v1.svg?logo=github&label=Repo&message=View%20On%20Github&color=lightgrey)](https://github.com/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch_empty.ipynb)\n",
-    "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch_empty.ipynb)   \n",
+    "[![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/phlippe/uvadlc_notebooks/blob/master/docs/tutorial_notebooks/tutorial2/Introduction_to_PyTorch_empty.ipynb)  \n",
     "**Recordings:** \n",
     "[![YouTube - Part 1](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%201&color=red)](https://youtu.be/wnKZZgFQY-E)\n",
     "[![YouTube - Part 2](https://img.shields.io/static/v1.svg?logo=youtube&label=YouTube&message=Part%202&color=red)](https://youtu.be/schbjeU5X2g)"