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6 changes: 3 additions & 3 deletions TCN/adding_problem/README.md
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Expand Up @@ -3,7 +3,7 @@
### Overview

In this task, each input consists of a length-T sequence of depth 2, with all values randomly
chosen randomly in [0, 1] in dimension 1. The second dimension consists of all zeros except for
chosen in [0, 1] in dimension 1. The second dimension consists of all zeros except for
two elements, which are marked by 1. The objective is to sum the two random values whose second
dimensions are marked by 1. One can think of this as computing the dot product of two dimensions.

Expand All @@ -15,5 +15,5 @@ See `data_generator` in `utils.py`.

### Note

Because a TCN's receptive field depends on depth of the network and the filter size, we need
to make sure these the model we use can cover the sequence length T.
Because a TCN's receptive field depends on the depth of the network and the filter size,
we need to make sure the model we use can cover the sequence length T.