feat: README.md w/ usage, training and inference instructions

README.md

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+# Python AutoEncoder from scratch using Numpy
+
+## Usage 
+
+1. Install requirements :
+```sh
+$ pip install -r requirements.txt
+```
+
+2. Optionally run mnist_test.py.
+```sh
+$ py mnist_test.py 
+```
+
+## Training
+
+Instatiate an `Autoencoder` object :
+```py
+from autoencoder import Autoencoder
+
+autoencoder = Autoencoder(in_len=300, bottleneck=50, 0.001, relu)
+```
+And then via the `train_dataset` method to train over a dataset :
+```py
+autoencoder.train_dataset(data)
+```
+Or via the `train` to input each data points iteratively :
+```py
+autoencoder.train(v)
+```
+
+## Inference
+
+Use your `Autoencoder` object with the `encode` and `decode` methods like so :
+```py
+example = ...
+code = autoencoder.encode(example)
+output = autoencoder.decode(code)
+```