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README.md

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+## AI Translation
+
+This model will predict the English translation of short German sentence.
+
+```
+INPUT: A German sentence
+es tut mir sehr leid'
+
+OUTPUT: English translation
+i m sorry about that
+```
+
+### Tools Used
+
+- Python
+- PyTorch
+- Matplotlib
+- NumPy
+
+### Concepts covered
+
+- RNN (Recurrent Neural Network)
+- Sequences and Vectors
+- Encoding and Decoding
+
+### Details
+
+We started by exploring the different kinds of models that we can build using recurrent neural networks like vector-to-vector models, sequence-to-vector models, sequence-to-sequence, and vector-to-sequence models. We were most interested in was the sequence-to-sequence model for language translation. We noticed the basic components of a model, the encoder which generates a hidden state representation of the input sentence and the decoder that generates the sentence in the target language. We have seen the training process of this encoder-decoder model and how teacher forcing allows us to build models that converge faster.