microcnn 0.1.3

A minimal CNN framework in Rust with Quantization
Documentation
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[package]
edition = "2021"
name = "microcnn"
version = "0.1.3"
authors = ["Fauzi Sholichin"]
build = false
exclude = [
    "data/*",
    ".idea/*",
    "result/*",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "A minimal CNN framework in Rust with Quantization"
readme = "README.md"
keywords = [
    "cnn",
    "neural-network",
    "quantization",
    "deep-learning",
]
categories = [
    "science",
    "algorithms",
]
license = "MIT"
repository = "https://github.com/fauzisho/microcnn"

[features]
default = ["simd"]
mnist_pre_pad = []
simd = []

[lib]
name = "microcnn"
path = "src/lib.rs"

[[example]]
name = "lenet_mnist"
path = "examples/lenet_mnist.rs"

[[test]]
name = "conv_algorithms_test"
path = "tests/conv_algorithms_test.rs"

[[test]]
name = "network_test"
path = "tests/network_test.rs"

[[test]]
name = "quantization_test"
path = "tests/quantization_test.rs"

[[test]]
name = "simd_test"
path = "tests/simd_test.rs"

[[test]]
name = "tensor_test"
path = "tests/tensor_test.rs"

[dependencies.flate2]
version = "1"