AI、機械学習、ディープラーニングのための TensorFlow 入門 from Coursera

ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice 専門講座」の一部であり、機械学習用の人気のオープンソースフレームワークであるTensorFlowのベストプラクティスを学習します。

アンドリュー・エンの「 The Machine Learning（機械学習）」と「Deep Learning Specialization（ディープラーニング専門講座）」では、機械学習とディープラーニングの最も重要かつ基本的な原理を学習します。deeplearning.aiが提供する新しい「TensorFlow in Practice 専門講座」では、TensorFlowを使用してそれらの原理を実装し、拡張性のあるモデルを構築して現実世界の問題に適用する方法を学びます。ニューラルネットワークの仕組みについての理解を深めるには、「ディープラーニング専門講座」を受講することをお勧めします。

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新しいプログラミングパラダイム　

TensorFlowの入門～上級者向け講座へようこそ。お会いできて嬉しいです。１週目では、機械学習とディープラーニングの概要に触れ、それらがどのようにして新しいプログラミングパラダイムを提供し、これまで未踏だったシナリオを開くための新しいツールセットを提供するのかを簡単にご紹介します。必要なのは、基本的なプログラミングスキルだけで、あとは学習を進める中で習得できます。TensorFlow 1.ｘとTensorFlow 2.0アルファ版の両方で動作するコードを使って学んでいきます。まず、最初の動画で、アンドリューとローレンスの対話をご覧ください。これから学習するテーマについて話しています。

コンピュータビジョンの紹介　

この講座の２週目へようこそ。１週目では、機械学習とディープラーニングがいかに新しいプログラミングパラダイムであるかを学びました。今週は次のレベルへ進んで、わずか数行のコードでコンピュータビジョンの問題を解きます。まずはローレンスとアンドリューの対話をご覧ください。二人がコンピュータビジョンへとご案内します。

畳み込みニューラルネットワークでビジョンを強化する　

３週目へようこそ。２週目では、コンピュータビジョンのための簡単なニューラルネットワークについて学びました。よく機能しましたが、少し単純すぎるアプローチでした。今週は、ここでローレンスとアンドリューが話しているように、それを発展させる方法を見ていきます。

現実世界の画像を使用する　

先週はディープニューラルネットワークの結果を畳み込みを使用して改善する方法を学習しました。順調な滑り出しにはなりましたが、使用したデータは非常に基本的なものでした。画像が大きい場合や、特徴が常に同じ場所にない場合は、どうなるでしょうか。アンドリューとローレンスが今週の学習内容、つまり、複雑な画像の取り扱いについて話しています。

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Develops skills using industry standard programming tools for TensorFlow

Uses both TensorFlow 1.x and 2.x for added flexibility for learners at different stages

Addresses the growing need for real-world applications in the field of machine learning

Taught by industry experts Laurence Moroney and Andrew Ng

Not a standalone course, this is part of a multipart series

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Learners who complete AI、機械学習、ディープラーニングのための TensorFlow 入門 will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers design, develop, and deploy computer vision systems. They work with a variety of programming languages and software development tools to create systems that can see and understand the world around us. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and deploy artificial intelligence systems. They work with a variety of programming languages and software development tools to create systems that can learn from data and make predictions. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Natural Language Processing Engineer

Natural Language Processing Engineers design, develop, and deploy natural language processing systems. They work with a variety of programming languages and software development tools to create systems that can understand and generate human language. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Deep Learning Engineer

Deep Learning Engineers design, develop, and deploy deep learning systems. They work with a variety of programming languages and software development tools to create systems that can learn from data and make predictions. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Machine Learning Researcher

Machine Learning Researchers develop new machine learning algorithms and techniques. They work in a variety of industries, including academia, industry, and government. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Speech Recognition Engineer

Speech Recognition Engineers design, develop, and deploy speech recognition systems. They work with a variety of programming languages and software development tools to create systems that can recognize and understand human speech. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Data Scientist

Data Scientists use their knowledge of machine learning, statistics, and data analysis to extract insights from data. They work with data from a variety of sources, including structured and unstructured data, to identify patterns and trends. This course may be useful in helping you build a foundation in machine learning, which is an essential skill for Data Scientists.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and software development tools to create software that meets the needs of users. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They work in a variety of industries, including finance, insurance, and healthcare. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Business Analyst

Business Analysts use their knowledge of business and technology to identify and solve business problems. They work with stakeholders from across the organization to gather requirements, analyze data, and make recommendations. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of users. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for leading or participating in the design, development, deployment, and maintenance of machine learning systems. You will need to have a strong understanding of machine learning algorithms, as well as experience with programming languages and software development tools. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Data Architect

Data Architects design and manage data systems. They work with stakeholders from across the organization to gather requirements, analyze data, and make recommendations. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Database Administrator

Database Administrators are responsible for the installation, configuration, and maintenance of database systems. They work with stakeholders from across the organization to ensure that databases are available, reliable, and secure. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders from across the organization to ensure that projects are completed on time, within budget, and to the required quality. This course may be useful in helping you develop the skills and knowledge you need to succeed in this role.

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AI、機械学習、ディープラーニングのための TensorFlow 入門

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