fix: Change embeddings matrix shape to (E,I) on RNN #234
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On Algorithms 9 and 10, the embeddings matrix$\mathbf{W}^e \in \mathbb{R}^{E \times I}$ was shape $(E, I)$ . The initialization of the RNN on $\mathbf{W}^e$ with shape $(I, E)$
lxmls/deep_learning/rnn.pyinitializes a(input_size, embedding_size)instead.This change makes$\mathbf{W}^e$ have shape $(E, I)$ and also updates the
NumpyRNN.log_forwardmethod to account for the new shape.Also on this PR is the rename of the argument
input(a python builtin function) to `model_input* across multiple functions. Maybe we want to move this to a different PR.