songt

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outputs is a length T(=28) list of outputs (one for each input), which are concatenated forward and backward outputs. `output[-1] = concatenate(output_fw[-1], output_bw[0])` `output[0] = concatenate(output_fw[0], output_bw[-1])` while: output_fw[-1] not...

the `neural_net()` receive a Tensor of rank 2 instead of rank 1, you should: `print(neural_net(img.reshape((1, 784)))`