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Torch downgrade removed from W3D3 (NeuromatchAcademy#905) #934

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Oct 25, 2023
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Torch downgrade removed from W3D3 (NeuromatchAcademy#905) #934

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27 changes: 7 additions & 20 deletions tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/W3D3_Tutorial1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -76,19 +76,6 @@
"# Setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
},
"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": "code",
"execution_count": null,
Expand Down Expand Up @@ -1009,7 +996,7 @@
"```\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",
"````"
]
},
Expand Down Expand Up @@ -1082,7 +1069,7 @@
"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."
]
},
{
Expand All @@ -1095,7 +1082,7 @@
"\n",
"| _Chance_ | | None (raw data) | Supervised |\n",
"| - | - | --- | --- |\n",
"| _33.33%_ | | 39.55% | 98.67% |"
"| _33.33%_ | | 39.55% | 98.70% |"
]
},
{
Expand Down Expand Up @@ -1956,7 +1943,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -2532,7 +2519,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -3163,7 +3150,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -4462,7 +4449,7 @@
"\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% |"
]
},
{
Expand Down
27 changes: 7 additions & 20 deletions tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/instructor/W3D3_Tutorial1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -76,19 +76,6 @@
"# Setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
},
"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": "code",
"execution_count": null,
Expand Down Expand Up @@ -1011,7 +998,7 @@
"```\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",
"````"
]
},
Expand Down Expand Up @@ -1084,7 +1071,7 @@
"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."
]
},
{
Expand All @@ -1097,7 +1084,7 @@
"\n",
"| _Chance_ | | None (raw data) | Supervised |\n",
"| - | - | --- | --- |\n",
"| _33.33%_ | | 39.55% | 98.67% |"
"| _33.33%_ | | 39.55% | 98.70% |"
]
},
{
Expand Down Expand Up @@ -1964,7 +1951,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -2542,7 +2529,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -3175,7 +3162,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -4476,7 +4463,7 @@
"\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% |"
]
},
{
Expand Down
27 changes: 7 additions & 20 deletions tutorials/W3D3_UnsupervisedAndSelfSupervisedLearning/student/W3D3_Tutorial1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -76,19 +76,6 @@
"# Setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"execution": {}
},
"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": "code",
"execution_count": null,
Expand Down Expand Up @@ -1009,7 +996,7 @@
"```\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",
"````"
]
},
Expand Down Expand Up @@ -1043,7 +1030,7 @@
"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."
]
},
{
Expand All @@ -1056,7 +1043,7 @@
"\n",
"| _Chance_ | | None (raw data) | Supervised |\n",
"| - | - | --- | --- |\n",
"| _33.33%_ | | 39.55% | 98.67% |"
"| _33.33%_ | | 39.55% | 98.70% |"
]
},
{
Expand Down Expand Up @@ -1757,7 +1744,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -2226,7 +2213,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -2791,7 +2778,7 @@
"\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% |"
]
},
{
Expand Down Expand Up @@ -3856,7 +3843,7 @@
"\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% |"
]
},
{
Expand Down