M12

Deep Learning

As a result of the course, we had to:
● Learn to apply Deep Learning techniques in practice
● Get familiar with both fundamental and most recent approaches in Natural Language Processing and Reinforcement Learning
● Get ready to face the real world problems and to apply the Deep Learning techniques to them
● Gain essential experience with PyTorch framework \

Name		Name	Last commit message	Last commit date
Latest commit History 69 Commits
Week 02		Week 02
Day 01 Intro to NLP.ipynb		Day 01 Intro to NLP.ipynb
Day 01 Simple_test_processing.ipynb		Day 01 Simple_test_processing.ipynb
Day 02 CNN_Salary_Prediction.ipynb		Day 02 CNN_Salary_Prediction.ipynb
Day 02 Practice_CNN_on_texts_Class.ipynb		Day 02 Practice_CNN_on_texts_Class.ipynb
Day 03 Seq2Seq_NMT_Class.ipynb		Day 03 Seq2Seq_NMT_Class.ipynb
Day 03 Sequence2Sequence.ipynb		Day 03 Sequence2Sequence.ipynb
Day 04 Attention.ipynb		Day 04 Attention.ipynb
Day 04 Attention_basics_and_tensorboard_Class.ipynb		Day 04 Attention_basics_and_tensorboard_Class.ipynb
Day 05 fun_with_embeddings.ipynb		Day 05 fun_with_embeddings.ipynb
Day 06 Using_BERT_for_the_First_Time_Class.ipynb		Day 06 Using_BERT_for_the_First_Time_Class.ipynb
Day 06: BERT.ipynb		Day 06: BERT.ipynb
Day 07 BiLSTM_for_PoS_Tagging.ipynb		Day 07 BiLSTM_for_PoS_Tagging.ipynb
Day 08 Question_Answering_with_a_Fine_Tuned_BERT.ipynb		Day 08 Question_Answering_with_a_Fine_Tuned_BERT.ipynb
Day 10 MarkovDecisionProcess_practice.ipynb		Day 10 MarkovDecisionProcess_practice.ipynb
Day 10 Practice_on_Q_learning.ipynb		Day 10 Practice_on_Q_learning.ipynb
Day 13 Homework3_qlearning.ipynb		Day 13 Homework3_qlearning.ipynb
README.md		README.md

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