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Results 1 - 3 of 3 for donec (0.17 sec)
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api/go1.14.txt
pkg syscall (freebsd-arm64), const IPPROTO_DIVERT = 258 pkg syscall (freebsd-arm64), const IPPROTO_DIVERT ideal-int pkg syscall (freebsd-arm64), const IPPROTO_DONE = 257 pkg syscall (freebsd-arm64), const IPPROTO_DONE ideal-int pkg syscall (freebsd-arm64), const IPPROTO_DSTOPTS = 60 pkg syscall (freebsd-arm64), const IPPROTO_DSTOPTS ideal-int pkg syscall (freebsd-arm64), const IPPROTO_EGP = 8
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api/go1.20.txt
pkg syscall (freebsd-riscv64), const IPPROTO_DIVERT = 258 #53466 pkg syscall (freebsd-riscv64), const IPPROTO_DIVERT ideal-int #53466 pkg syscall (freebsd-riscv64), const IPPROTO_DONE = 257 #53466 pkg syscall (freebsd-riscv64), const IPPROTO_DONE ideal-int #53466 pkg syscall (freebsd-riscv64), const IPPROTO_DSTOPTS = 60 #53466 pkg syscall (freebsd-riscv64), const IPPROTO_DSTOPTS ideal-int #53466
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RELEASE.md
`ImageDataGenerator`. It takes you from a structured directory of images to a labeled dataset, in one function call. Note that it doesn't perform image data augmentation (which is meant to be done using preprocessing layers). * **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
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