Row 63214

Row ID: 63214 | Dataset Entry | Axioma AXP Content Repository

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These were the transforms I implemented! Do you think the \`RandomCrop()\` here sufficient?

cifar_train_transform = transforms.Compose( [ transforms.ToTensor(), transforms.Resize(size=(32, 32), antialias=True), transforms.RandomCrop(32, pad_if_needed=True), transforms.RandomHorizontalFlip(0.5), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)), ] ) cifar_test_transform = transforms.Compose( [ transforms.ToTensor(), transforms.Resize(size=(32, 32), antialias=True), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)), ] )

FieldValue
text These were the transforms I implemented! Do you think the \`RandomCrop()\` here sufficient? cifar_train_transform = transforms.Compose( [ transforms.ToTensor(), transforms.Resize(size=(32, 32), antialias=True), transforms.RandomCrop(32, pad_if_needed=True), transforms.RandomHorizontalFlip(0.5), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)), ] ) cifar_test_transform = transforms.Compose( …
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9xaHB3cVpvMFdLNE92bDJMWFlhTmhRNVJOMjJqTnVaWGY3WXhvT2p6ckZNWXpEaVk4UFRZVlFzVTFvTFZoc0dHNjZpWFZ3NmhSWlVuTE0xaC1UbEFSdWNaOWtVejlWSkx6ay1YSVpVcGJsNEF0ZjF2M0pjV3o3TFMtNW5nWFZ3TlRLb3R2UU8xX3k4TzdHcWZEd0JYOWpmQzVWR3ZlUlJCM2VpbUx0VVJfRjFLQ2c0cEJLMktfWXZ5SEdfNFB6dXVHd1YyMTY0Rmo1YzBtbXU0aXhBcnUyRjNkblAzMGxDSlVteUVoOGt1Unl0QT0=

Raw Record

{
  "text": "These were the transforms I implemented! Do you think the \\`RandomCrop()\\` here sufficient?   \n\n\n    cifar_train_transform = transforms.Compose(\n        [\n            transforms.ToTensor(),\n            transforms.Resize(size=(32, 32), antialias=True),\n            transforms.RandomCrop(32, pad_if_needed=True),\n            transforms.RandomHorizontalFlip(0.5),\n            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n        ]\n    )\n    \n    cifar_test_transform = transforms.Compose(\n        [\n            transforms.ToTensor(),\n            transforms.Resize(size=(32, 32), antialias=True),\n            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),\n        ]\n    )",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1heEQzZkVCdldUNmZyT2hlVnJvTzJ4X1VNQ0xDY3VFYTdEVklhSTA2YVg5UjJlQW1Ba2RmUWFTRzVSMHpjYWFKMmxzdUhmN2V0Q2c4QjQ0SVhqYWpfRlZDU09GeGJpNjZCV1ZubWRJQkc3UEE9",
  "url_encoded": "Z0FBQUFBQm5Lak9xaHB3cVpvMFdLNE92bDJMWFlhTmhRNVJOMjJqTnVaWGY3WXhvT2p6ckZNWXpEaVk4UFRZVlFzVTFvTFZoc0dHNjZpWFZ3NmhSWlVuTE0xaC1UbEFSdWNaOWtVejlWSkx6ay1YSVpVcGJsNEF0ZjF2M0pjV3o3TFMtNW5nWFZ3TlRLb3R2UU8xX3k4TzdHcWZEd0JYOWpmQzVWR3ZlUlJCM2VpbUx0VVJfRjFLQ2c0cEJLMktfWXZ5SEdfNFB6dXVHd1YyMTY0Rmo1YzBtbXU0aXhBcnUyRjNkblAzMGxDSlVteUVoOGt1Unl0QT0="
}
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