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-rw-r--r--src/notebooks/01-look-at-emnist.ipynb184
1 files changed, 0 insertions, 184 deletions
diff --git a/src/notebooks/01-look-at-emnist.ipynb b/src/notebooks/01-look-at-emnist.ipynb
index d727cb4..0ef77b6 100644
--- a/src/notebooks/01-look-at-emnist.ipynb
+++ b/src/notebooks/01-look-at-emnist.ipynb
@@ -49,169 +49,6 @@
},
{
"cell_type": "code",
- "execution_count": 37,
- "metadata": {},
- "outputs": [],
- "source": [
- "from torch.utils.data import random_split, DataLoader"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "metadata": {},
- "outputs": [],
- "source": [
- "d1, d2 = random_split(dataset, [len(dataset)-10, 10])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "55898"
- ]
- },
- "execution_count": 39,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "len(d1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 40,
- "metadata": {},
- "outputs": [],
- "source": [
- "dl = DataLoader(d1, batch_size=16)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "3494"
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "len(dl)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 42,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "tensor([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 4, 4, 4, 4, 4, 2, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 2, 4, 9, 32, 37, 37, 37, 32, 20, 1, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 3, 65, 109, 140, 204, 215, 217, 217, 201, 154, 22, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3,\n",
- " 12, 122, 190, 222, 245, 249, 250, 250, 242, 206, 46, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 8, 79,\n",
- " 127, 222, 247, 253, 235, 228, 249, 254, 254, 245, 114, 4, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 35, 91, 219,\n",
- " 244, 252, 247, 207, 100, 84, 223, 251, 254, 250, 127, 4, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 91, 163, 246,\n",
- " 252, 244, 220, 127, 39, 48, 218, 250, 255, 250, 127, 4, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 5, 20, 95, 219, 246, 246,\n",
- " 221, 127, 79, 10, 5, 37, 217, 250, 254, 249, 125, 4, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 20, 67, 175, 246, 252, 219,\n",
- " 164, 47, 22, 1, 5, 39, 218, 250, 254, 245, 114, 4, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 1, 9, 95, 175, 250, 246, 219, 91,\n",
- " 35, 1, 0, 0, 22, 84, 234, 252, 250, 220, 50, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 9, 35, 164, 221, 252, 219, 163, 35,\n",
- " 9, 0, 0, 0, 46, 127, 246, 254, 245, 204, 34, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 7, 91, 163, 246, 252, 219, 91, 35, 1,\n",
- " 0, 0, 0, 10, 128, 209, 254, 254, 220, 139, 9, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 3, 22, 159, 219, 252, 247, 164, 35, 9, 0,\n",
- " 0, 0, 1, 36, 175, 233, 254, 254, 204, 115, 4, 0, 0, 0],\n",
- " [ 0, 0, 0, 1, 36, 95, 232, 251, 232, 195, 47, 1, 0, 0,\n",
- " 0, 9, 35, 163, 246, 253, 249, 232, 122, 45, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 7, 91, 164, 247, 251, 187, 127, 20, 0, 0, 0,\n",
- " 1, 35, 91, 219, 253, 254, 234, 187, 67, 20, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 46, 207, 244, 247, 220, 80, 24, 1, 3, 8, 34,\n",
- " 52, 164, 219, 253, 249, 234, 155, 79, 4, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 2, 81, 232, 251, 235, 179, 39, 12, 5, 22, 46, 115,\n",
- " 139, 221, 246, 254, 234, 188, 79, 32, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 3, 112, 244, 254, 236, 193, 130, 127, 129, 173, 209, 245,\n",
- " 250, 254, 253, 232, 154, 79, 4, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 46, 206, 242, 249, 248, 249, 250, 250, 250, 250, 250,\n",
- " 250, 243, 219, 95, 22, 7, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 22, 154, 201, 217, 222, 245, 249, 249, 233, 222, 217,\n",
- " 217, 202, 158, 36, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 1, 20, 32, 39, 51, 114, 125, 125, 82, 51, 37,\n",
- " 37, 32, 20, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 2, 4, 5, 9, 32, 37, 37, 21, 9, 4,\n",
- " 4, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
- " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
- " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]],\n",
- " dtype=torch.uint8)"
- ]
- },
- "execution_count": 42,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "d1.dataset.data[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 43,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "torch.Tensor"
- ]
- },
- "execution_count": 43,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "type(dataset.data)"
- ]
- },
- {
- "cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
@@ -288,27 +125,6 @@
"source": [
"display_images(dataset, 9)"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-09-20 15:17:51 +0000