01 course-introduction (4.41 MB)
01 converting-words-to-features (10.18 MB)
02 document-categorization-prediction-with-torchtext (11.1 MB)
03 document-categorization-training-with-torchtext (16.83 MB)
04 training-the-model-in-pytorch (4.95 MB)
01 language-modeling-with-n-grams (13.44 MB)
02 n-grams-as-neural-networks-with-pytorch (7.95 MB)
01 word2vec-introduction-and-cbow-models (10.22 MB)
02 word2vec-skip-gram-and-pretrained-models (12.43 MB)
04 encoder-decoder-rnn-models-training-and-inference (12.28 MB)
05 encoder-decoder-rnn-models-translation (12.81 MB)
06 metrics-for-evaluating-the-quality-of-generated-text (12.66 MB)