Acerca de este Curso

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Certificado para compartir
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100 % en línea
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow

Aprox. 11 horas para completar
Inglés (English)

Qué aprenderás

  • Perform efficient ETL tasks using Tensorflow Data Services APIs

  • Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API

  • Use different modules and functions of the TFDS API to prepare your data for training pipelines

  • Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization

Habilidades que obtendrás

Artificial Neural NetworkTensorflowExtraction, Transformation And Loading (ETL)Data PipelinesTensorFlow Datasets
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

We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow

Aprox. 11 horas para completar
Inglés (English)

Instructor

ofrecido por

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deeplearning.ai

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

3 horas para completar

Data Pipelines with TensorFlow Data Services

3 horas para completar
10 videos (Total 21 minutos), 4 lecturas, 2 cuestionarios
10 videos
Introduction1m
Popular Datasets2m
Data Pipelines58s
Extract, Transform and Load3m
Versioning Datasets2m
Looking at the Notebook1m
Using TFDS in Keras to Train Fashion MNIST 3m
Horses or Humans in TFDS2m
Week 1 Wrap Up49s
4 lecturas
Downloading the Coding Examples and Exercises10m
Try Out the Notebook Yourself10m
Try the Horses or Human Notebook10m
Grader Note10m
1 ejercicio de práctica
Week 1 Quiz30m
Semana
2

Semana 2

2 horas para completar

Splits and Slices API for Datasets in TF

2 horas para completar
7 videos (Total 26 minutos), 3 lecturas, 2 cuestionarios
7 videos
Introduction to Splits API5m
Splits API Notebook Walkthrough5m
File Structure in TensorFlow Datasets1m
Feature Descriptors4m
TFRecord Colab Walkthrough5m
Week 2 Wrap Up1m
3 lecturas
Splits API Colab10m
TFRecord Colab 10m
Grader Note10m
1 ejercicio de práctica
Week 230m
Semana
3

Semana 3

3 horas para completar

Exporting Your Data into the Training Pipeline

3 horas para completar
21 videos (Total 44 minutos), 5 lecturas, 2 cuestionarios
21 videos
Introduction22s
Input Data1m
Basic Mechanics2m
Numeric and Bucketized Columns2m
Vocabulary and Hashed Columns, Feature Crossing2m
Embedding Columns2m
Introduction24s
Notebook Walkthrough4m
Introduction19s
Numpy, Pandas and Images2m
CSV3m
Text and TFRecord1m
Generators1m
Introduction17s
Notebook walkthrough4m
Introduction1m
Using Numpy and Pandas2m
Image Data1m
CSV Data4m
Text Data2m
5 lecturas
Link to the Notebook10m
Link to the CNN Course10m
Link to the Notebook10m
CSV Colab10m
Link to the Course 10m
1 ejercicio de práctica
Week 3 Quiz30m
Semana
4

Semana 4

3 horas para completar

Performance

3 horas para completar
22 videos (Total 44 minutos), 2 lecturas, 3 cuestionarios
22 videos
Introduction36s
ETL2m
What Happens When You Train a Model2m
Introduction25s
Caching58s
Parallelism APIs2m
Autotuning2m
Parallelizing Data Extraction2m
Best Practices for Code Improvements3m
A Few Words by Laurence34s
A conversation with Andrew Ng1m
Introduction44s
How to Start Using a Dataset2m
Implementation4m
File Access and Possible Problems in Data3m
Publishing the Dataset3m
Introduction18s
Going Through the Colab- Part 12m
Going Through the Colab - Part 22m
Closing Words14s
A conversation with Andrew Ng1m
2 lecturas
URLs10m
Link to the Colab10m
2 ejercicios de práctica
Week 4 Quiz
Publishing your Dataset Quiz

Reseñas

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Acerca de Programa especializado: TensorFlow: Data and Deployment

TensorFlow: Data and Deployment

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