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Sequence Models

Курс от DeepLearning.AI
Средний≈ 37.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career.

Навыки, которые вы освоите

Recurrent Neural Networks (RNNs)EmbeddingsNatural Language ProcessingTransfer LearningLarge Language ModelingHugging FaceFine-tuningArtificial Neural NetworksGenerative AIDeep Learning

Программа курса

4 модулей · 66 учебных материалов

01Recurrent Neural Networks21 материалов

Recurrent Neural Networks

Why Sequence Models?ВидеоNotationВидеоRecurrent Neural Network ModelВидеоBackpropagation Through TimeВидео

Учитесь у экспертов

Andrew Ng

Instructor

Kian Katanforoosh

Senior Curriculum Developer

Younes Bensouda Mourri

Curriculum developer

Sequence Models
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Обучение на Coursera

≈ 37.1 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!Чтение
Different Types of RNNsВидео
Language Model and Sequence GenerationВидео
Sampling Novel SequencesВидео
Vanishing Gradients with RNNsВидео
Clarifications about Upcoming Gated Recurrent Unit (GRU) VideoЧтение
Gated Recurrent Unit (GRU)Видео
Clarifications about Upcoming Long Short Term Memory (LSTM) VideoЧтение
Long Short Term Memory (LSTM)Видео
Bidirectional RNNВидео
Deep RNNsВидео

Lecture Notes (Optional)

Lecture Notes W1Чтение

Quiz

Recurrent Neural Networks Задание

Programming Assignments

(Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your WorkspaceЧтениеBuilding your Recurrent Neural Network - Step by StepПрограммированиеDinosaur Island-Character-Level Language Modeling ПрограммированиеJazz Improvisation with LSTMПрограммирование
02Natural Language Processing & Word Embeddings15 материалов

Introduction to Word Embeddings

Word RepresentationВидеоUsing Word EmbeddingsВидеоProperties of Word EmbeddingsВидеоEmbedding MatrixВидео

Learning Word Embeddings: Word2vec & GloVe

Learning Word EmbeddingsВидеоWord2VecВидеоNegative SamplingВидеоClarifications about Upcoming GloVe Word Vectors Video ЧтениеGloVe Word VectorsВидео

Applications Using Word Embeddings

Sentiment ClassificationВидеоDebiasing Word EmbeddingsВидео

Lecture Notes (Optional)

Lecture Notes W2Чтение

Quiz

Natural Language Processing & Word Embeddings Задание

Programming Assignments

Operations on Word Vectors - DebiasingПрограммированиеEmojifyПрограммирование
03Sequence Models & Attention Mechanism15 материалов

Various Sequence To Sequence Architectures

Basic ModelsВидеоPicking the Most Likely SentenceВидеоBeam SearchВидеоRefinements to Beam SearchВидеоError Analysis in Beam SearchВидеоBleu Score (Optional)ВидеоAttention Model IntuitionВидеоClarifications about Upcoming Attention Model Video ЧтениеAttention ModelВидео

Speech Recognition - Audio Data

Speech RecognitionВидеоTrigger Word DetectionВидео

Lecture Notes (Optional)

Lecture Notes W3Чтение

Quiz

Sequence Models & Attention Mechanism Задание

Programming Assignments

Neural Machine TranslationПрограммированиеTrigger Word DetectionПрограммирование
04Transformer Network15 материалов

Transformers

Transformer Network IntuitionВидеоSelf-AttentionВидеоMulti-Head AttentionВидеоTransformer NetworkВидео

Lecture Notes (Optional)

Lecture Notes W4Чтение

Quiz

Transformers Задание

End of access to Lab Notebooks

[IMPORTANT] Reminder about end of access to Lab NotebooksЧтение

Programming Assignment

Transformers Architecture with TensorFlowПрограммирование

Transformer Applications - Ungraded Labs

Transformer Pre-processingЛабораторнаяTransformer Network Application: Named-Entity RecognitionЛабораторнаяTransformer Network Application: Question AnsweringЛабораторная

Conclusion

Conclusion and Thank You!Видео

References & Acknowledgments

ReferencesЧтениеAcknowledgmentsЧтение(Optional) Opportunity to Mentor Other LearnersЧтение