Derk Mus dmus
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| require 'nn' | |
| require 'torch' | |
| require 'rnn' | |
| require 'gnuplot' | |
| -- the input data is: x[i]=i (i=1..1000) | |
| data = torch.Tensor(1001):range(1,1001):apply(math.rad):apply(math.sin) | |
| lstm = torch.load('rnn_sine.t7') | |
| local N = 50 -- number of steps to sample |
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| require 'nn' | |
| require 'torch' | |
| require 'rnn' | |
| require 'gnuplot' | |
| require 'optim' | |
| --debugger = require('fb.debugger') | |
| no_param = 1 -- number of parameters in one element. In case of x->sin(x) this is 1. | |
| seq_length = 50 -- length of the sequence (number of Tensors in the table fed to nn.Sequencer()) | |
| batch_size = 10 -- size of the batches |