Acerca de este Curso

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Fechas límite flexibles
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Nivel intermedio

You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Aprox. 14 horas para completar
Inglés (English)

Qué aprenderás

  • Build natural language processing systems using TensorFlow

  • Process text, including tokenization and representing sentences as vectors

  • Apply RNNs, GRUs, and LSTMs in TensorFlow

  • Train LSTMs on existing text to create original poetry and more

Habilidades que obtendrás

Natural Language ProcessingTokenizationMachine LearningTensorflowRNNs
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Aprox. 14 horas para completar
Inglés (English)

Instructor

ofrecido por

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deeplearning.ai

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up94%(8,267 calificaciones)Info
Semana
1

Semana 1

3 horas para completar

Sentiment in text

3 horas para completar
13 videos (Total 30 minutos), 4 lecturas, 3 cuestionarios
13 videos
Introduction1m
Word based encodings2m
Using APIs2m
Notebook for lesson 12m
Text to sequence3m
Looking more at the Tokenizer1m
Padding2m
Notebook for lesson 24m
Sarcasm, really?2m
Working with the Tokenizer1m
Notebook for lesson 33m
Week 1 Wrap up21s
4 lecturas
Check out the code!10m
Check out the code!10m
News headlines dataset for sarcasm detection10m
Check out the code!10m
1 ejercicio de práctica
Week 1 Quiz
Semana
2

Semana 2

4 horas para completar

Word Embeddings

4 horas para completar
14 videos (Total 39 minutos), 7 lecturas, 3 cuestionarios
14 videos
Introduction2m
The IMBD dataset1m
Looking into the details4m
How can we use vectors?2m
More into the details2m
Notebook for lesson 110m
Remember the sarcasm dataset?1m
Building a classifier for the sarcasm dataset1m
Let’s talk about the loss function1m
Pre-tokenized datasets43s
Diving into the code (part 1)1m
Diving into the code (part 2)2m
Notebook for lesson 35m
7 lecturas
IMDB reviews dataset10m
Check out the code!10m
Check out the code!10m
TensorFlow datasets10m
Subwords text encoder10m
Check out the code!10m
Week 2 Wrap up10m
1 ejercicio de práctica
Week 2 Quiz
Semana
3

Semana 3

3 horas para completar

Sequence models

3 horas para completar
10 videos (Total 16 minutos), 7 lecturas, 3 cuestionarios
10 videos
Introduction2m
LSTMs2m
Implementing LSTMs in code1m
Accuracy and loss1m
A word from Laurence35s
Looking into the code1m
Using a convolutional network1m
Going back to the IMDB dataset1m
Tips from Laurence37s
7 lecturas
Link to Andrew's sequence modeling course10m
More info on LSTMs10m
Check out the code!10m
Check out the code!10m
Check out the code!10m
Exploring different sequence models10m
Week 3 Wrap up10m
1 ejercicio de práctica
Week 3 Quiz
Semana
4

Semana 4

3 horas para completar

Sequence models and literature

3 horas para completar
14 videos (Total 27 minutos), 5 lecturas, 3 cuestionarios
14 videos
Introduction1m
Looking into the code57s
Training the data2m
More on training the data1m
Notebook for lesson 18m
Finding what the next word should be2m
Example1m
Predicting a word1m
Poetry!40s
Looking into the code1m
Laurence the poet!1m
Your next task1m
A conversation with Andrew Ng1m
5 lecturas
Check out the code!10m
link to Laurence's poetry10m
Check out the code!10m
Link to generating text using a character-based RNN10m
Wrap up10m
1 ejercicio de práctica
Week 4 Quiz

Reseñas

Principales reseñas sobre NATURAL LANGUAGE PROCESSING IN TENSORFLOW

Ver todas las reseñas

Acerca de Certificado profesional de DeepLearning.AI desarrollador de TensorFlow

DeepLearning.AI desarrollador de TensorFlow

Preguntas Frecuentes

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