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.
oferecido por
Google CloudInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 15 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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 você terá
- Machine Learning
- Python Programming
- Build Input Data Pipeline
- Tensorflow
- keras
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 15 horas para completar
Inglês
Legendas: Inglês
oferecido 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 - O que você aprenderá com este curso
1 minuto para concluir
Introduction to the Course
This module provides an overview of the course and its objectives.
1 minuto para concluir
1 vídeo (Total 1 mín.)
1 hora para concluir
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 concluir
4 vídeos (Total 19 mín.), 1 leitura, 1 teste
5 horas para concluir
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 concluir
10 vídeos (Total 41 mín.), 1 leitura, 3 testes
6 horas para concluir
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 concluir
11 vídeos (Total 45 mín.), 1 leitura, 4 testes
2 horas para concluir
Training at Scale with Vertex AI
In this module, we describe how to train TensorFlow models at scale using Vertex AI.
2 horas para concluir
3 vídeos (Total 7 mín.), 1 leitura, 2 testes
1 hora para concluir
Summary
This module is a summary of the TensorFlow on Google Cloud course.
1 hora para concluir
4 leituras
Avaliações
- 5 stars61,82%
- 4 stars25,10%
- 3 stars8,97%
- 2 stars2,56%
- 1 star1,52%
Principais avaliações do TENSORFLOW ON GOOGLE CLOUD
por VC17 de mai de 2020
I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.
por AM23 de set de 2020
Very nice Course for beginners to TensorFlow. Thank you Professor. It would be helpful if correct answers for last lab be provided so to understand more.
por SK10 de mai de 2020
A good understanding of bash cmds and a well-digested understanding of the course material is required to perform the labs. Quite challenging.
por SR2 de ago de 2018
Nice start. Have a look at Andrew NG's course, especially how they do the labs. Might give you some ideas for your next class versions.
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