Sequence Models

This course is part of Deep Learning Specialization

Instructors: Andrew Ng +2 more

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Skills you'll gain

  •   Large Language Modeling
  •   Artificial Neural Networks
  •   Tensorflow
  •   Deep Learning
  •   PyTorch (Machine Learning Library)
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Natural Language Processing
  •   Applied Machine Learning
  • There are 4 modules in this course

    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.

    Natural Language Processing & Word Embeddings

    Sequence Models & Attention Mechanism

    Transformer Network

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