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H1drogen Jun 3, 2024
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Update 03_pytorch_computer_vision.ipynb
H1drogen Jun 3, 2024
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course initiation
H1drogen Oct 3, 2024
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8 changes: 8 additions & 0 deletions .idea/.gitignore
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6 changes: 6 additions & 0 deletions .idea/inspectionProfiles/Project_Default.xml
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37 changes: 21 additions & 16 deletions 00_pytorch_fundamentals.ipynb
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Expand Up @@ -98,31 +98,35 @@
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "1VxEOik46Y4i",
"outputId": "f3141076-29bc-4600-c1c3-1586b1fe2292"
"outputId": "f3141076-29bc-4600-c1c3-1586b1fe2292",
"ExecuteTime": {
"end_time": "2024-10-03T13:53:53.168444Z",
"start_time": "2024-10-03T13:53:51.534003Z"
}
},
"source": [
"import torch\n",
"torch.__version__"
],
"outputs": [
{
"data": {
"text/plain": [
"'1.13.1+cu116'"
"'2.4.1'"
]
},
"execution_count": 1,
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import torch\n",
"torch.__version__"
]
"execution_count": 2
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -1719,10 +1723,10 @@
"evalue": "mat1 and mat2 shapes cannot be multiplied (3x2 and 3x2)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb Cell 75\u001b[0m in \u001b[0;36m<cell line: 10>\u001b[0;34m()\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1'>2</a>\u001b[0m tensor_A \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mtensor([[\u001b[39m1\u001b[39m, \u001b[39m2\u001b[39m],\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=2'>3</a>\u001b[0m [\u001b[39m3\u001b[39m, \u001b[39m4\u001b[39m],\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3'>4</a>\u001b[0m [\u001b[39m5\u001b[39m, \u001b[39m6\u001b[39m]], dtype\u001b[39m=\u001b[39mtorch\u001b[39m.\u001b[39mfloat32)\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=5'>6</a>\u001b[0m tensor_B \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mtensor([[\u001b[39m7\u001b[39m, \u001b[39m10\u001b[39m],\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=6'>7</a>\u001b[0m [\u001b[39m8\u001b[39m, \u001b[39m11\u001b[39m], \n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=7'>8</a>\u001b[0m [\u001b[39m9\u001b[39m, \u001b[39m12\u001b[39m]], dtype\u001b[39m=\u001b[39mtorch\u001b[39m.\u001b[39mfloat32)\n\u001b[0;32m---> <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=9'>10</a>\u001b[0m torch\u001b[39m.\u001b[39;49mmatmul(tensor_A, tensor_B)\n",
"\u001b[0;31mRuntimeError\u001b[0m: mat1 and mat2 shapes cannot be multiplied (3x2 and 3x2)"
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mRuntimeError\u001B[0m Traceback (most recent call last)",
"\u001B[1;32m/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb Cell 75\u001B[0m in \u001B[0;36m<cell line: 10>\u001B[0;34m()\u001B[0m\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1'>2</a>\u001B[0m tensor_A \u001B[39m=\u001B[39m torch\u001B[39m.\u001B[39mtensor([[\u001B[39m1\u001B[39m, \u001B[39m2\u001B[39m],\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=2'>3</a>\u001B[0m [\u001B[39m3\u001B[39m, \u001B[39m4\u001B[39m],\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3'>4</a>\u001B[0m [\u001B[39m5\u001B[39m, \u001B[39m6\u001B[39m]], dtype\u001B[39m=\u001B[39mtorch\u001B[39m.\u001B[39mfloat32)\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=5'>6</a>\u001B[0m tensor_B \u001B[39m=\u001B[39m torch\u001B[39m.\u001B[39mtensor([[\u001B[39m7\u001B[39m, \u001B[39m10\u001B[39m],\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=6'>7</a>\u001B[0m [\u001B[39m8\u001B[39m, \u001B[39m11\u001B[39m], \n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=7'>8</a>\u001B[0m [\u001B[39m9\u001B[39m, \u001B[39m12\u001B[39m]], dtype\u001B[39m=\u001B[39mtorch\u001B[39m.\u001B[39mfloat32)\n\u001B[0;32m---> <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y134sdnNjb2RlLXJlbW90ZQ%3D%3D?line=9'>10</a>\u001B[0m torch\u001B[39m.\u001B[39;49mmatmul(tensor_A, tensor_B)\n",
"\u001B[0;31mRuntimeError\u001B[0m: mat1 and mat2 shapes cannot be multiplied (3x2 and 3x2)"
]
}
],
Expand Down Expand Up @@ -1910,6 +1914,7 @@
"You can create your own matrix multiplication visuals like this at http://matrixmultiplication.xyz/.\n",
"\n",
"> **Note:** A matrix multiplication like this is also referred to as the [**dot product**](https://www.mathsisfun.com/algebra/vectors-dot-product.html) of two matrices.\n",
"> Refer to this excellent course to learn more about matrix multiplication https://www.khanacademy.org/math/linear-algebra\n",
"\n"
]
},
Expand Down Expand Up @@ -3690,10 +3695,10 @@
"evalue": "can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb Cell 157\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y312sdnNjb2RlLXJlbW90ZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39m# If tensor is on GPU, can't transform it to NumPy (this will error)\u001b[39;00m\n\u001b[0;32m----> <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y312sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1'>2</a>\u001b[0m tensor_on_gpu\u001b[39m.\u001b[39;49mnumpy()\n",
"\u001b[0;31mTypeError\u001b[0m: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first."
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mTypeError\u001B[0m Traceback (most recent call last)",
"\u001B[1;32m/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb Cell 157\u001B[0m in \u001B[0;36m<cell line: 2>\u001B[0;34m()\u001B[0m\n\u001B[1;32m <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y312sdnNjb2RlLXJlbW90ZQ%3D%3D?line=0'>1</a>\u001B[0m \u001B[39m# If tensor is on GPU, can't transform it to NumPy (this will error)\u001B[39;00m\n\u001B[0;32m----> <a href='vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a22544954414e2d525458227d/home/daniel/code/pytorch/pytorch-course/pytorch-deep-learning/00_pytorch_fundamentals.ipynb#Y312sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1'>2</a>\u001B[0m tensor_on_gpu\u001B[39m.\u001B[39;49mnumpy()\n",
"\u001B[0;31mTypeError\u001B[0m: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first."
]
}
],
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1 change: 1 addition & 0 deletions 03_pytorch_computer_vision.ipynb
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Expand Up @@ -4549,6 +4549,7 @@
"\n",
"## Extra-curriculum\n",
"* **Watch:** [MIT's Introduction to Deep Computer Vision](https://www.youtube.com/watch?v=iaSUYvmCekI&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=3) lecture. This will give you a great intuition behind convolutional neural networks.\n",
"* Complete https://www.kaggle.com/learn/intro-to-machine-learning\n",
"* Spend 10-minutes clicking thorugh the different options of the [PyTorch vision library](https://pytorch.org/vision/stable/index.html), what different modules are available?\n",
"* Lookup \"most common convolutional neural networks\", what architectures do you find? Are any of them contained within the [`torchvision.models`](https://pytorch.org/vision/stable/models.html) library? What do you think you could do with these?\n",
"* For a large number of pretrained PyTorch computer vision models as well as many different extensions to PyTorch's computer vision functionalities check out the [PyTorch Image Models library `timm`](https://github.com/rwightman/pytorch-image-models/) (Torch Image Models) by Ross Wightman."
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