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.
Este curso forma parte de Programa especializado: Aprendizaje profundo
Ofrecido Por


Acerca de este Curso
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Habilidades que obtendrás
- Natural Language Processing
- Long Short Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
- Recurrent Neural Network
- Attention Models
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Ofrecido por
Programa - Qué aprenderás en este curso
Recurrent Neural Networks
Natural Language Processing & Word Embeddings
Sequence Models & Attention Mechanism
Transformer Network
Reseñas
- 5 stars83,59 %
- 4 stars13,08 %
- 3 stars2,56 %
- 2 stars0,47 %
- 1 star0,28 %
Principales reseñas sobre MODELOS DE SECUENCIAS
Excellent course! This course extensively covers all of the relevant areas of NLP with a strong practical element allowing you to applying Deep Learning for Sequence Models in real-world scenarios.
So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.
I was really happy because I could learn deep learning from Andrew Ng.
The lectures were fantastic and amazing.
I was able to catch really important concepts of sequence models.
Thanks a lot!
Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.
Acerca de Programa especializado: Aprendizaje profundo

Preguntas Frecuentes
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