Attention and layer normalization #67
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Updated softmax to work with a user-specified axis and added matmul that broadcasts with .expand() in order to implement self-attention. Output projection layers, bias, and multi-head capability will be added in a future sprint, which is why the class is called MultiheadAttention.
Also added ndarray.variance and layer normalization.