What will you Learn in the Project?
- Building machine translation model using LSTM
- Building machine translation model using LSTM with an attention mechanism
- Building machine translation model with Bi-directional LSTM Encoder-decoder
- Building machine translation model with state-of-the-art transformer architecture
Tools & Technologies Used
- Working knowledge of tools such as Tensorflow, Keras, etc.
- Good theoretical understanding of concepts such as RNN, LSTM, Bi-directional LSTM, Encoder-decoder model, attention mechanism (such as loung attention), and deep learning transformer encoder-decoder model
- Having theoretical knowledge of how machine translation deep learning is a plus
Task-1: Create a base encoder-decoder machine translation model with LSTM
Task-2: Create a machine translation model with Luong-style attention
Task-3: Create a Bi-directional enc-dec model with an attention mechanism
Task-4: Develop a transformer-based machine translation model