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    • Tensorflow

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    「tensorflow」の233件の結果

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      習得できるスキル: Machine Learning, Deep Learning, Tensorflow, Artificial Neural Networks, Data Science, Computer Vision, Computer Programming, Python Programming, Statistical Programming, General Statistics, Natural Language Processing, Probability & Statistics, Business Psychology, Entrepreneurship, Forecasting, Communication, Machine Learning Algorithms, Marketing, Applied Machine Learning, Programming Principles, Statistical Machine Learning, Computer Graphic Techniques, Computer Graphics, Machine Learning Software

      4.7

      (23.1k件のレビュー)

      Intermediate · Professional Certificate · 3-6 Months

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      Imperial College London

      TensorFlow 2 for Deep Learning

      習得できるスキル: Machine Learning, Deep Learning, Tensorflow, Computer Programming, Python Programming, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Machine Learning Algorithms, Probability & Statistics, Data Visualization, Bayesian Statistics, Natural Language Processing, Probability Distribution, Advertising, Communication, Marketing, Operations Research, Research and Design

      4.8

      (628件のレビュー)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      習得できるスキル: Deep Learning, Tensorflow, Machine Learning, Python Programming, Applied Machine Learning, Computer Programming, Statistical Programming, Computer Vision, Artificial Neural Networks, Computer Architecture, Computer Networking, Network Architecture, Distributed Computing Architecture, Machine Learning Software, Mathematics, Basic Descriptive Statistics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Machine Learning Algorithms, Network Model, Probability & Statistics, Programming Principles

      4.8

      (1.2k件のレビュー)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      習得できるスキル: Machine Learning, Tensorflow, Computer Vision, Deep Learning, Artificial Neural Networks, Computer Programming, Python Programming, Statistical Programming, Applied Machine Learning, Programming Principles, Computer Graphic Techniques, Computer Graphics, Machine Learning Algorithms, Machine Learning Software

      4.7

      (18.2k件のレビュー)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      Deep Learning

      習得できるスキル: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (137.8k件のレビュー)

      Intermediate · Specialization · 3-6 Months

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      Imperial College London

      Getting started with TensorFlow 2

      習得できるスキル: Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Python Programming, Statistical Programming, Tensorflow, Data Visualization, Machine Learning Algorithms

      4.9

      (506件のレビュー)

      Intermediate · Course · 1-3 Months

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      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      習得できるスキル: C++ Programming, Cloud Computing, Machine Learning, Tensorflow

      Beginner · Project · Less Than 2 Hours

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      DeepLearning.AI、Stanford University

      Machine Learning

      習得できるスキル: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (8.1k件のレビュー)

      Beginner · Specialization · 1-3 Months

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      Google Cloud

      Advanced Machine Learning on Google Cloud

      習得できるスキル: Machine Learning, Cloud Computing, Google Cloud Platform, Cloud Platforms, Probability & Statistics, Business Psychology, General Statistics, Entrepreneurship, Statistical Programming, Deep Learning, Apache, Cloud Applications, Data Management, Machine Learning Software, Natural Language Processing, Python Programming, Reinforcement Learning, Tensorflow, Artificial Neural Networks, Computer Vision, Performance Management, Strategy and Operations, Applied Machine Learning, Cloud API, Computational Thinking, Computer Architecture, Computer Programming, Data Analysis, Data Engineering, Distributed Computing Architecture, Hardware Design, Machine Learning Algorithms, Other Cloud Platforms and Tools, Theoretical Computer Science

      4.5

      (1.4k件のレビュー)

      Advanced · Specialization · 3-6 Months

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      DeepLearning.AI

      TensorFlow: Data and Deployment

      習得できるスキル: Machine Learning, Tensorflow, Applied Machine Learning, Deep Learning, Computer Programming, Python Programming, Data Management, Extract, Transform, Load, Mobile Development, Data Science, Marketing, Statistical Programming, Computer Vision, Mobile Development Tools, Artificial Neural Networks, Computer Science, iOS Development, Javascript, Machine Learning Software, Data Model, Android Development, Application Development, Computer Architecture, Entrepreneurship, Leadership and Management, Microarchitecture, Problem Solving, Research and Design, Software Engineering, Swift Programming, Theoretical Computer Science, Cross Platform Development, Data Visualization, HTML and CSS, Java Programming, Machine Learning Algorithms, Security Engineering, Visualization (Computer Graphics), Web Development

      4.6

      (1.3k件のレビュー)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      習得できるスキル: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Estimation, Econometrics, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (15.8k件のレビュー)

      Intermediate · Professional Certificate · 3-6 Months

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      Coursera Project Network

      TensorFlow for CNNs: Learn and Practice CNNs

      習得できるスキル: Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Python Programming, Tensorflow

      4.3

      (42件のレビュー)

      Intermediate · Guided Project · Less Than 2 Hours

    tensorflowに関連する検索

    tensorflow: data and deployment
    tensorflow: advanced techniques
    tensorflow 2 for deep learning
    tensorflow on google cloud
    tensorflow on google cloud - español
    tensorflow on google cloud - 日本語版
    tensorflow for cnns: learn and practice cnns
    tensorflow for ai: get to know tensorflow
    1234…20

    要約して、tensorflow の人気コース10選をご紹介します。

    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • TensorFlow 2 for Deep Learning: Imperial College London
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • Getting started with TensorFlow 2: Imperial College London
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Machine Learning: DeepLearning.AI
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • TensorFlow: Data and Deployment: DeepLearning.AI

    Machine Learningで学べるスキル

    Pythonプログラミング (33)
    ディープラーニング (30)
    人工ニューラルネットワーク (24)
    ビッグデータ (18)
    統計的分類 (17)
    強化学習 (13)
    代数 (10)
    ベイズ (10)
    線型代数学 (10)
    線形回帰 (9)
    NumPy (9)

    TensorFlowに関するよくある質問

    • TensorFlow is an open-source framework for machine learning (ML) programming originally created by Google Brain, Google’s deep learning and artificial intelligence (AI) research team. It has become one of the most popular software platforms for machine learning due to its flexibility and a comprehensive ecosystem of tools and resources. For example, TensorFlow.js allows for JavaScript-based ML applications that can run in browsers; TensorFlow Lite can run on mobile devices for federated learning applications; and TensorFlow Hub provides an extensive library of reusable ML models.

      The flexibility of TensorFlow and breadth of its machine learning applications have been important in enabling a wide range of uses. TensorFlow is frequently used for computer vision applications, including facial recognition in social media, automatic X-ray scanning in healthcare, and autonomous vehicle driving. Similarly, natural language processing (NLP) applications can understand and respond to spoken and written text, making possible the creation of helpful chatbots and other digital agents as well as the automatic reading and summarization of text. Recommendation engines used by music streaming services and online retailers may also be built in TensorFlow.

      These are all just a few examples of the power of machine learning applications and the ways that TensorFlow can be leveraged to enable them. If you’re interested in pushing the boundaries of this fast-changing field even further, learning TensorFlow is essential.‎

    • Expertise in TensorFlow is an extremely valuable addition to your skillset, and can open the door to many exciting careers. As one of the most popular and useful platforms for machine learning and deep learning applications, TensorFlow skills are in demand from companies throughout the tech world, as well as in the automotive industry, medicine, robotics, and other fields. This high level of demand for skills in TensorFlow and machine learning translates into high levels of pay; according to Glassdoor, machine learning engineers in America earn an average salary of $114,121.‎

    • Absolutely - in fact, Coursera is one of the best places to learn TensorFlow skills online. You can take individual courses as well as Specializations spanning multiple courses from deeplearning.ai, one of the pioneers in the field, or Google Cloud, an industry leader. You can also take courses from top-ranked universities from around the world, including Imperial College London and National Research University Higher School of Economics. Guided Projects from Coursera offer another way to learn, with hands-on Tensorflow tutorials presented by experienced instructors.‎

    • You need to have a basic understanding of Python before starting to learn TensorFlow, so it's best to start with an introductory course to this programming language first. Python is the language used to design TensorFlow. It's also helpful to have knowledge of artificial intelligence (AI) concepts as well. You should have strong math skills, especially in algebra so that you'll be familiar with the calculations and algorithms required in TensorFlow. Foundational knowledge of vectors, scalars, and matrices is also very helpful as you start learning TensorFlow, as well as basic statistics. And it's important to know the basics of machine learning as well.‎

    • People who are best suited for roles in TensorFlow have an interest in machine learning or deep learning. Important soft skills include communication skills, problem-solving skills, time management, teamwork, and a thirst for learning. Someone who uses TensorFlow in their job likely works with a team of professionals like software engineers, research scientists, marketing teams, data scientists, and product teams, so they must be able to communicate clearly, prioritize tasks, and work toward a common goal. And since fields that use TensorFlow—such as AI, machine learning, and deep learning—are constantly evolving, people who adapt well to change and are eager to learn or develop the next new technology are well suited for these roles.‎

    • If you are currently in the machine learning field or aspire to be, learning about TensorFlow is most likely right for you. The same applies if you want to enter the deep learning field in positions like deep learning scientist, deep learning software engineer, or deep learning researcher since TensorFlow is a good starting point for deep learning. If you're in a deep learning internship, learning TensorFlow is right for you as well.‎

    このFAQの内容は、情報提供のみを目的としています。受講生は、自分の個人的、職業的、経済的な目標に合ったコースやその他の資格を取得するために、さらに調べることをお勧めします。
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