The repository represents the set of jupyter noteboooks for ml workshop. Below is the separation of the notebooks by level and topics that is covers: Level 1: 1. complete_notebooks/MNIST-classification.ipynb - classification task, implementing classification from scratch Level 2: 2. complete_notebooks/TagsPrediction.ipynb - multi lable classification, Bag of words, TFiDF Level 3: 3. complete_notebooks/charrnn_pytorch.ipynb - Recurrent neural network Level 4: 4. complete_notebooks/text_generation_pytorch.ipynb - word embeddings, complex recurrent networks(lstm, gru) Level 5: 5. complete_notebooks/NER-pytorch.ipynb - bidirectional RNN networks Level 6: 6. complete_notebooks/artistic_transfer.ipynb - artistic style transfer Tasks: Level 1: tasks/MNIST-classification-tasks.ipynb Level 2: tasks/TagsPrediction-tasks.ipynb Level 3: tasks/NER-pytorch-tasks.ipynb