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
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Programa especializado: Aprendizaje profundodeeplearning.aiAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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Curso 5 de 5 en
Nivel intermedio
- Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
- A basic grasp of linear algebra & ML
Aprox. 41 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Árabe (Arabic)
Habilidades que obtendrás
Natural Language ProcessingLong Short Term Memory (LSTM)Gated Recurrent Unit (GRU)Recurrent Neural NetworkAttention Models
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 5 de 5 en
Nivel intermedio
- Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
- A basic grasp of linear algebra & ML
Aprox. 41 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Árabe (Arabic)
ofrecido por
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programa - Qué aprenderás en este curso
14 horas para completar
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,
14 horas para completar
12 videos (Total 112 minutos), 4 lecturas, 6 cuestionarios
9 horas para completar
Natural Language Processing & Word Embeddings
Natural language processing with deep learning is a powerful combination. Using word vector representations and embedding layers, train recurrent neural networks with outstanding performance across a wide variety of applications, including sentiment analysis, named entity recognition and neural machine translation.
9 horas para completar
10 videos (Total 99 minutos), 1 lectura, 4 cuestionarios
9 horas para completar
Sequence Models & Attention Mechanism
Augment your sequence models using an attention mechanism, an algorithm that helps your model decide where to focus its attention given a sequence of inputs. Then, explore speech recognition and how to deal with audio data.
9 horas para completar
10 videos (Total 98 minutos), 3 lecturas, 4 cuestionarios
9 horas para completar
Transformer Network
9 horas para completar
5 videos (Total 42 minutos), 4 lecturas, 3 cuestionarios
Reseñas
Principales reseñas sobre SEQUENCE MODELS
por AC23 de jun. de 2019
Very well produced and explained. In my case, the nature of the Sequence Model makes understanding the concepts and finishing the assignment more challenging than other segments of the specialization.
por AM30 de jun. de 2019
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
por PJ3 de abr. de 2019
The previous courses raised the bar and expectations. The assignments for Week 1 and Week 2 were a bit unclear. Lectures for Week 1 and Week 2 can be improved as well. Besides, this is a great course!
por JS12 de jul. de 2020
brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.
Acerca de Programa especializado: Aprendizaje profundo
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.
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