This course covers designing and building a TensorFlow 2.x input data pipeline, building ML models with TensorFlow 2.x and Keras, improving the accuracy of ML models, writing ML models for scaled use and writing specialized ML models.
ofrecido por
Google CloudAcerca de este Curso
23.401 vistas recientes
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.
Nivel intermedio
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Create TensorFlow 2.x and Keras machine learning models and understand their key components
Use the tf.data library to manipulate data and large datasets
Use the Keras Sequential and Functional APIs for simple and advanced model creation
Train, deploy, and productionalize ML models at scale with Vertex AI
Habilidades que obtendrás
- Machine Learning
- Python Programming
- Build Input Data Pipeline
- Tensorflow
- keras
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.
Nivel intermedio
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programa - Qué aprenderás en este curso
1 minuto para completar
Introduction to the Course
This module provides an overview of the course and its objectives.
1 minuto para completar
1 video (Total 1 minutos)
1 hora para completar
Introduction to the TensorFlow ecosystem
This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.
1 hora para completar
4 videos (Total 19 minutos), 1 lectura, 1 cuestionario
5 horas para completar
Design and Build an Input Data Pipeline
Data is the a crucial component of a machine learning model. Collecting the right data is not enough. You also need to make sure you put the right processes in place to clean, analyze and transform the data, as needed, so that the model can take the most signal of it as possible. In this module we discuss training on large datasets with tf.data, working with in-memory files, and how to get the data ready for training. Then we discuss embeddings, and end with an overview of scaling data with tf.keras preprocessing layers.
5 horas para completar
10 videos (Total 41 minutos), 1 lectura, 3 cuestionarios
6 horas para completar
Building Neural Networks with the TensorFlow and Keras API
In this module, we discuss activation functions and how they are needed to allow deep neural networks to capture nonlinearities of the data. We then provide an overview of Deep Neural Networks using the Keras Sequential and Functional APIs. Next we describe model subclassing, which offers greater flexibility in model building. The module ends with a lesson on regularization.
6 horas para completar
11 videos (Total 45 minutos), 1 lectura, 4 cuestionarios
2 horas para completar
Training at Scale with Vertex AI
In this module, we describe how to train TensorFlow models at scale using Vertex AI.
2 horas para completar
3 videos (Total 7 minutos), 1 lectura, 2 cuestionarios
1 hora para completar
Summary
This module is a summary of the TensorFlow on Google Cloud course.
1 hora para completar
4 lecturas
Reseñas
- 5 stars61,80 %
- 4 stars25,14 %
- 3 stars8,96 %
- 2 stars2,54 %
- 1 star1,53 %
Principales reseñas sobre TENSORFLOW ON GOOGLE CLOUD
por AG26 de jun. de 2020
The first week was the best, as it described some of what's going on under the hood. I would have liked much more on these topics and less on specific cloud products
por PR26 de dic. de 2018
Amazing course! The short length of videos makes it lot easier for students to follow! Google is honestly the best at whatever it does! :)
por TK16 de jun. de 2018
The BEST course I've ever taken on TensorFlow! Definitely recommended to anyone interested in learning the fundamental of TF and GCP
por SR14 de jun. de 2018
very useful for getting up to speed on tensorflowa little inconvenient that you have to start the infrastructure for each lab, takes minutes (5-7)
Preguntas Frecuentes
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
¿Qué recibiré cuando me inscriba?
¿Cuándo recibiré mi Certificado de curso?
¿Por qué no puedo participar como oyente en este curso?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
