Advanced Machine Learning with TensorFlow on Google Cloud Platform 專項課程
Learn Advanced Machine Learning with Google Cloud。 Build production-ready machine learning models with TensorFlow on Google Cloud Platform.
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
- Advanced Specialization.
- Designed for those already in the industry.
第 1 門課程
End-to-End Machine Learning with TensorFlow on GCP
- 3 weeks of study, 8 - 10 hours per week
課程概述In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One o
第 2 門課程
Production Machine Learning Systems
- 5 - 7 hours per week
課程概述In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with P
第 3 門課程
Image Understanding with TensorFlow on GCP
- 5 - 7 hours per week
課程概述This is the third course of the Advanced Machine Learning on GCP specialization. In this course, We will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy
第 4 門課程
Sequence Models for Time Series and Natural Language Processing
課程概述This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify free form text • Ad
第 5 門課程
Recommendation Systems with TensorFlow on GCP於 November 2018 開始
課程概述In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. • Devise a content-based recommendation engine • Implement a collaborative filtering recommendation engine • Build a hybrid recommendation engine with user and content embeddings
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