add license and readme

LICENSE

@@ -0,0 +1,19 @@
+MIT License
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,30 @@
+
+# aicaramba ✨
+
+a simple neural network implementation from a perspective of linear algebra.
+
+the library is mostly developed for recreational and educational purposes for myself
+and only depends on the `rand`-crate for randomization of newly created weight-
+and bias matrices.
+
+for a usage example see `src/bin/xor.rs`, which simulates an XOR-logic-gate using
+a small neural network.
+
+---
+
+## features
+
+currently available features of the library:
+
+- ReLU and Sigmoid activation functions
+- the MSE loss function
+- a single, down-to-earth struct that contains the whole network
+
+
+## roadmap
+
+what might happen down the road:
+
+- BCE loss function (requires output layer sigmoid activation - not a trivial addition)
+- serde (de-)serialization to easily store checkpoints/training progress.
+- perhaps a MNIST example (?)