Keywords: Poetry generation, Natural Language Processing, Teacher forcing, GloVe, Deep learning, Optimization Github

1. Generated poetry predictions for Robert Frost data by building and implementing a highly efficient dual Recurrent Neural Network using Keras, Python, LSTM, GloVe pre-trained word embeddings, and one-hot encoding for target sequences.

2. Performed teacher forcing during training by feeding an accurate previous word into the decoder to predict the next word accurately based on the sequence.