Problem
1. Specify the network structure and node activation functions to enable a neural network model to implement logistic regression.
2. Find a data set involving an interesting sequence of symbols: perhaps text, color sequences in images, or event logs from some device. Use word2vec to construct symbol embeddings from them, and explore through nearest neighbor analysis. What interesting structures do the embeddings capture?