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    • Tensorflow

    筛选依据

    ''tensorflow'的 197 个结果

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      您将获得的技能: Analysis, Applied Machine Learning, Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Classification, Statistical Machine Learning, Statistical Programming, Tensorflow

      4.7

      (22.2k 条评论)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      您将获得的技能: Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Deep Learning, Distributed Computing Architecture, Euler'S Totient Function, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Network Architecture, Object Detection, Programming Principles, Python Programming, Statistical Programming, Tensorflow

      4.8

      (1.1k 条评论)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

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

      您将获得的技能: Computer Graphic Techniques, Deep Learning, Computer Vision, Computer Programming, Statistical Programming, Keras, Python Programming, Artificial Neural Networks, Programming Principles, Tensorflow, Computer Graphics, Convolutional Neural Network, Applied Machine Learning, Machine Learning

      4.7

      (17.5k 条评论)

      Intermediate · Course · 1-4 Weeks

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      Imperial College London

      TensorFlow 2 for Deep Learning

      您将获得的技能: Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Tensorflow

      4.8

      (572 条评论)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Deep Learning

      您将获得的技能: Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Decision Making, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Network Architecture, Network Model, Probability & Statistics, Project, Project Management, Python Programming, Regression, Sales, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.3k 条评论)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      TensorFlow: Data and Deployment

      您将获得的技能: Android Development, Application Development, Applied Machine Learning, Computer Architecture, Computer Programming, Computer Vision, Cross Platform Development, Data Management, Data Model, Data Visualization, Deep Learning, Entrepreneurship, Extract, Transform, Load, HTML and CSS, Javascript, Leadership and Management, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Marketing, Microarchitecture, Mobile Development, Mobile Development Tools, Modeling, Problem Solving, Python Programming, Research and Design, Security Engineering, Software Engineering, Statistical Programming, Swift Programming, Tensorflow, Theoretical Computer Science, Visualization (Computer Graphics), Web Development, iOS Development

      4.6

      (1.3k 条评论)

      Intermediate · Specialization · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      您将获得的技能: Algorithms, Apache, Applied Machine Learning, Bayesian Statistics, Business Analysis, Business Psychology, Cloud Computing, Cloud Platforms, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Model, Data Structures, Deep Learning, DevOps, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.6

      (24.2k 条评论)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      您将获得的技能: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Structures, Databases, Deep Learning, Dimensionality Reduction, Econometrics, Entrepreneurship, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science

      4.6

      (14.8k 条评论)

      Intermediate · Professional Certificate · 3-6 Months

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      Coursera Project Network

      Predicting House Prices with Regression using TensorFlow

      您将获得的技能: Applied Machine Learning, Artificial Neural Networks, Statistical Programming, Deep Learning, Computer Programming, Machine Learning, Tensorflow, Python Programming

      4.5

      (481 条评论)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Basic Image Classification with TensorFlow

      您将获得的技能: Statistical Classification, Computer Programming, Machine Learning, Deep Learning, Artificial Neural Networks, Statistical Programming, Applied Machine Learning, Keras, Network Model, Python Programming, Computer Networking, Tensorflow

      4.6

      (745 条评论)

      Beginner · Guided Project · Less Than 2 Hours

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      Imperial College London

      Getting started with TensorFlow 2

      您将获得的技能: Computer Vision, Computer Programming, Machine Learning, Python Programming, Applied Machine Learning, Keras, Artificial Neural Networks, Tensorflow, Statistical Programming, Deep Learning

      4.9

      (463 条评论)

      Intermediate · Course · 1-3 Months

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      DeepLearning.AI

      Advanced Learning Algorithms

      您将获得的技能: Probability & Statistics, Theoretical Computer Science, Machine Learning Algorithms, Data Management, Tensorflow, Decision Tree, Statistical Programming, Applied Machine Learning, Mathematics, Data Structures, Artificial Neural Networks, Statistical Machine Learning, Linear Algebra, Python Programming, Deep Learning, Machine Learning, Computer Programming, General Statistics, Probability Distribution, Computer Vision

      4.9

      (406 条评论)

      Beginner · Course · 1-4 Weeks

    与 tensorflow 相关的搜索

    tensorflow: advanced techniques
    tensorflow 2 for deep learning
    tensorflow for cnns: learn and practice cnns
    tensorflow: data and deployment
    tensorflow on google cloud
    tensorflow for ai: get to know tensorflow
    tensorflow for ai: applying image convolution
    tensorflow を使った畳み込みニューラルネットワーク
    1234…17

    总之,这是我们最受欢迎的 tensorflow 门课程中的 10 门

    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Deep Learning: DeepLearning.AI
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • IBM AI Engineering: IBM Skills Network
    • Predicting House Prices with Regression using TensorFlow: Coursera Project Network
    • Basic Image Classification with TensorFlow: Coursera Project Network

    您可以在 Machine Learning 中学到的技能

    Python 程序设计 (33)
    深度学习 (30)
    人工神经网络 (24)
    大数据 (18)
    统计分类 (17)
    强化学习 (13)
    代数 (10)
    贝叶斯定理 (10)
    线性代数 (10)
    线性回归 (9)
    Numpy (9)

    关于 Tensorflow 的常见问题

    • 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.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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