TensorFlow on Google Cloud - 日本語版 from Coursera

What's inside

Syllabus

コースの概要

このモジュールでは、コースの概要とその目標を説明します。

TensorFlow エコシステムの概要

このモジュールでは、TensorFlow フレームワークを紹介し、その主要コンポーネントを API 全体の階層とあわせて説明します。

入力データパイプラインの設計と構築

データは、機械学習モデルのなかでもきわめて重大なコンポーネントです。適切なデータを収集するだけでは不十分で、必要に応じて、データのクリーニング、分析、変換を行う場所に適切なプロセスを導入する必要があります。そうすることで、モデルがデータの発する信号を最大限認識できるようになります。このモジュールでは、tf.data を含む大規模なデータセットを使用したトレーニング、メモリ内ファイルの操作、およびトレーニング用データの準備方法について話をします。その後エンベディングの話をして、最後に tf.keras 前処理レイヤを使用したデータのスケーリングについて概要を説明します。

TensorFlow と Keras API を使用したニューラルネットワークの構築

このモジュールでは、活性化関数と、それらの関数がディープニューラルネットワークによるデータ非線形性の取り込みを可能としなければならない理由について話をします。その後、Keras Sequential API と Functional API を使用してディープニューラルネットワークの概要を説明します。続いて、モデルのサブクラス化を説明します。サブクラス化により、モデル構築の柔軟性が強化されます。また、本モジュールの最後に、正則化についてのレッスンを行います。

Vertex AI を使用した大規模なトレーニング

このモジュールでは、Vertex AI を使用して TensorFlow モデルを大規模にトレーニングする方法を説明します。

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

このコースは、TensorFlow 2.xを入力データパイプラインの設計と構築、MLモデルの構築、MLモデルの精度の改善、スケーリングに対応したMLモデルの作成、特殊なMLモデルの作成など、TensorFlow 2.xとKerasを使用して機械学習の重要な概念を理解したいと考えている人向けに設計されています。

本コースは、Google Cloud Trainingが提供しており、専門的な指導が保証されています。

このコースを受講することにより、機械学習の分野で幅広いスキルと知識を得ることができます。

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in TensorFlow on Google Cloud - 日本語版 with these activities:

TensorFlow 入門チュートリアル

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TensorFlow の基礎を固め、コースでのさらなる学習に備えます。

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公式チュートリアルを完了する
サンプルを調べて、コードを読む
理解していることを確認するために、簡単なプロジェクトを作成する

TensorFlow チュートリアルに従ってニューラルネットワークを構築する

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TensorFlow の公式ドキュメントとチュートリアルを使用すると、ニューラルネットワークの構築に関連する具体的な手順を学ぶことができます。

Browse courses on TensorFlow

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TensorFlow チュートリアル Web サイトでニューラルネットワーク関連のチュートリアルを見つける。
チュートリアルの手順に従って、ニューラルネットワークモデルを実装し、トレーニングする。

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Career center

Learners who complete TensorFlow on Google Cloud - 日本語版 will develop knowledge and skills that may be useful to these careers:

Machine Learning Researcher

Machine Learning Researchers conduct research to advance the field of machine learning, developing new algorithms and models to solve complex problems. This course may be useful for those seeking this career as it provides a foundation in model development and optimization techniques used by Machine Learning Researchers.

See salaries and explore the career path for Machine Learning Researcher

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course may be useful for those seeking this career as it provides a foundation in TensorFlow, a widely used framework for developing AI systems.

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Machine Learning Architect

Machine Learning Architects design and build scalable, reliable, and efficient machine learning systems. This course may be useful for those seeking this career as it provides training in model optimization, an important skill for Machine Learning Architects.

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Data Engineer

Data Engineers design, build, and maintain the infrastructure and processes that enable data scientists and other data professionals to access and analyze data. This course may be useful for those seeking this career as it provides a strong foundation in large-scale data pipeline design, an important skill for Data Engineers.

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Data Science Manager

Data Science Managers lead and manage data science teams, overseeing projects and ensuring the effective use of data science within an organization. This course may be useful for those seeking this career as it provides a foundation in model development, optimization, and scalability, all of which are skills utilized by Data Science Managers.

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Cloud Architect

Cloud Architects design and manage cloud computing systems, ensuring scalability, reliability, and security. This course may be useful for those seeking this career as it provides exposure to designing and preparing models for scalable deployment on the cloud.

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Technical Program Manager

Technical Program Managers manage the technical aspects of software development projects, ensuring that projects are completed on time, within budget, and to the required quality standards. This course may be useful for those seeking this career as it provides a foundation in model development and optimization, skills utilized by Technical Program Managers in managing machine learning projects.

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Quantitative Analyst

Quantitative Analysts analyze and interpret data to identify trends and patterns, and build mathematical models to predict future outcomes. This course may be useful for those seeking this career as it provides foundational skills in building, optimizing, and scaling predictive models.

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Research Analyst

Research Analysts use data analysis and modeling to conduct research and make recommendations to businesses and organizations. This course may be useful for those seeking this career as it provides hands-on training in model development, optimization, and scalability, all of which are skills utilized by Research Analysts.

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Data Scientist

Data Scientists use their knowledge of machine learning models to extract insights and solve problems from data, often at large scale. This course may be useful for those seeking this career as it teaches how to optimize model performance to prepare for working with large datasets.

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Product Manager

Product Managers are responsible for overseeing the inception, development and launch of technology products. This course may be useful for those seeking this career as it provides technical understanding of large-scale model development and deployment, valuable for managing technical products.

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Software Engineer

Software Engineers design, develop, test, deploy, and maintain software systems. This course may be useful for those seeking this career as it provides exposure to large-scale model development and optimization on the cloud.

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Data Analyst

Data Analysts apply analytical techniques and processes to data in order to extract insights and support better decision-making. This course may be useful for those seeking this career as it provides hands-on training in model optimization and scalability for large datasets.

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Machine Learning Engineer

Machine Learning Engineers use their programming, software engineering, and domain expertise to design, develop, test, and maintain self-improving predictive models. This course may be useful for those seeking this career as it provides basic training in model development to increase accuracy and scalability with TensorFlow.

See salaries and explore the career path for Machine Learning Engineer

Business Intelligence Analyst

Business Intelligence Analysts analyze business data to identify trends and patterns, which help businesses make better decisions. This course may be useful for those seeking this career as it provides a foundation to advance technical skills in data analysis for improved data-driven decision-making.

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TensorFlow on Google Cloud - 日本語版

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