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.
Why Sequence Models?
Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Natural Language Processing, Applied Machine Learning, Large Language Modeling
Reviews
4.8 (30,905 ratings)
- 5 stars83.74%
- 4 stars12.89%
- 3 stars2.58%
- 2 stars0.47%
- 1 star0.30%
JY
Oct 30, 2018
The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
NM
Feb 21, 2018
Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.
From the lesson
Recurrent Neural Networks
Discover recurrent neural networks, a type of model that performs extremely well on temporal data, and several of its variants, including LSTMs, GRUs and Bidirectional RNNs,
Taught By
Andrew Ng
Instructor
Kian Katanforoosh
Senior Curriculum Developer
Younes Bensouda Mourri
Curriculum developer