_pytorch-screencast-2017-06-07-201649-model-lstm-emsize-1500-nhid-1500-nlayers-2-batch-size-20-epoch-7-loss-6-02-ppl-412.jpg "Pytorch Screencast 2017-06-07 20:16:49_model-LSTM-emsize-1500-nhid_1500-nlayers_2-batch_size_20-epoch_7-loss_6.02-ppl_412.27 from lstm en Video Screenshot Preview")
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⏲ Duration: 69 min 45 sec
✓ Published: 08-Jun-2017
✓ Published: 08-Jun-2017
Description:
jhave@jhave-Ubuntu:~/Documents/Github/pytorch-poetry-generation/word_language_model$ python generate_2017-INFINITE-1M.py --cuda --checkpoint='/home/jhave/Documents/Github/pytorch-poetry-generation/word_language_model/models/2017-05-02T06-19-17/model-LSTM-emsize-1500-nhid_1500-nlayers_2-batch_size_20-epoch_7-loss_6.02-ppl_412.27.pt' nnSystem will generate poems of 88 words each, perpetually, until stopped.nnPyTorch Poetry Language Model.nTrained on approx 600,000 lines of poetrynn+~+nnCORPUS deri
jhave@jhave-Ubuntu:~/Documents/Github/pytorch-poetry-generation/word_language_model$ python generate_2017-INFINITE-1M.py --cuda --checkpoint='/home/jhave/Documents/Github/pytorch-poetry-generation/word_language_model/models/2017-05-02T06-19-17/model-LSTM-emsize-1500-nhid_1500-nlayers_2-batch_size_20-epoch_7-loss_6.02-ppl_412.27.pt' nnSystem will generate poems of 88 words each, perpetually, until stopped.nnPyTorch Poetry Language Model.nTrained on approx 600,000 lines of poetrynn+~+nnCORPUS deri
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