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.
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Google Cloudこのコースについて
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100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
約15時間で修了
英語
字幕：英語
学習内容
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
習得するスキル
- Machine Learning
- Python Programming
- Build Input Data Pipeline
- Tensorflow
- keras
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
約15時間で修了
英語
字幕：英語
提供：
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.
シラバス - 本コースの学習内容
1分で修了
Introduction to the Course
This module provides an overview of the course and its objectives.
1分で修了
1件のビデオ （合計1分）
1時間で修了
Introduction to the TensorFlow ecosystem
This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.
1時間で修了
4件のビデオ （合計19分）, 1 学習用教材, 1 個のテスト
5時間で修了
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時間で修了
10件のビデオ （合計41分）, 1 学習用教材, 3 個のテスト
6時間で修了
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時間で修了
11件のビデオ （合計45分）, 1 学習用教材, 4 個のテスト
2時間で修了
Training at Scale with Vertex AI
In this module, we describe how to train TensorFlow models at scale using Vertex AI.
2時間で修了
3件のビデオ （合計7分）, 1 学習用教材, 2 個のテスト
1時間で修了
Summary
This module is a summary of the TensorFlow on Google Cloud course.
1時間で修了
4 学習用教材
レビュー
- 5 stars61.78%
- 4 stars25.14%
- 3 stars9%
- 2 stars2.54%
- 1 star1.53%
TENSORFLOW ON GOOGLE CLOUD からの人気レビュー
PRにより2018年12月26日
Amazing course! The short length of videos makes it lot easier for students to follow! Google is honestly the best at whatever it does! :)
DWにより2018年10月16日
pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!
SRにより2018年8月2日
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.
MKにより2020年3月8日
The course covers quite a few concepts -- TF basics, TF estimator, Google Cloud ML. It would be easier if the material is split into TF and Google Cloud lessons.
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