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MichaelHirn
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chore/version: prepare for 0.2.1 release
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CHANGELOG.md

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<a name="0.2.1"></a>
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## 0.2.1 (2016-04-21)
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#### Bug Fixes
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* **sgd:** initialize weight gradient history with zeroes ([68689955](https://github.com/autumnai/leaf/commit/68689955c29c5e061389067b4dd4729b71404ad0))
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* **solvers:** remove CUDA build flag ([1f5f6b87](https://github.com/autumnai/leaf/commit/1f5f6b87260f7b7c2d202d59cedc686c9c3f6b1e))
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#### Breaking Changes
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* **container:** put sequential layer into container dir ([bb23b76b](https://github.com/autumnai/leaf/commit/bb23b76b41935a572135564c41c9df2b627d73d5), breaks [#](https://github.com/autumnai/leaf/issues/))
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#### Features
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* **container:** put sequential layer into container dir ([bb23b76b](https://github.com/autumnai/leaf/commit/bb23b76b41935a572135564c41c9df2b627d73d5), breaks [#](https://github.com/autumnai/leaf/issues/))
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* **features:** change meaning of framework features ([58d72f50](https://github.com/autumnai/leaf/commit/58d72f50964f8ddc3fc43d5f8b91b31af5881a7d))
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* **layers:** add tanh layer ([b1d5ec91](https://github.com/autumnai/leaf/commit/b1d5ec913be86c91a58ac281151d2cdf1ca976aa))
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* **serialization:**
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* add deserialization ([df7c9d88](https://github.com/autumnai/leaf/commit/df7c9d88713cffbc50261c488e940f0926edfea4))
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* add serialization ([cb1a1b4b](https://github.com/autumnai/leaf/commit/cb1a1b4b72eddcbba0414c32829f1e1e23b10ca1))
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#### Performance
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* **sgd:** use GPU for computation of weight updates ([08fd965b](https://github.com/autumnai/leaf/commit/08fd965b19a64879bc364f488ebb393b07e3f413))
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* **solver:** don't zero fill weight gradients ([6c4482c5](https://github.com/autumnai/leaf/commit/6c4482c5c17de761516f3cce7e860e5651041ea1))
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<a name="0.2.0"></a>
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## 0.2.0 (2016-03-04)
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Cargo.toml

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[package]
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name = "leaf"
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description = "Machine Learning Framework"
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version = "0.2.0"
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description = "Machine Learning Framework for Hackers"
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version = "0.2.1"
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authors = [
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"Maximilian Goisser <max@autumnai.com>",
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"Michael Hirn <mj@autumnai.com>"

README.md

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Leaf has one of the simplest APIs, is lean and tries to introduce minimal
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technical debt to your stack.
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See the [Leaf - Machine Learning for Hackers][leaf-book] book for more.
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Leaf is a few months old, but thanks to its architecture and Rust, it is already
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one of the fastest Machine Intelligence Frameworks available.
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```toml
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[dependencies]
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leaf = "0.2.0"
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leaf = "0.2.1"
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```
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[rust_download]: https://www.rust-lang.org/downloads.html
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```toml
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[dependencies]
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leaf = { version = "0.2.0", default-features = false }
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leaf = { version = "0.2.1", default-features = false }
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[features]
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default = ["native"] # include only the ones you want to use, in this case "native"

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