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    • Tensorflow

    TensorFlow Courses Online

    Master TensorFlow for deep learning. Learn to build, train, and deploy neural networks using TensorFlow.

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    Explore the TensorFlow Course Catalog

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Machine Learning, Tensorflow, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Applied Machine Learning, Human Learning, Computer Programming, Python Programming, Machine Learning Software, Natural Language Processing, Computer Vision, Forecasting, Data Visualization, Network Model, Statistical Machine Learning, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

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

      Skills you'll gain: Machine Learning, Tensorflow, Artificial Neural Networks, Computer Programming, Machine Learning Algorithms, Deep Learning, Machine Learning Software, Applied Machine Learning, Human Learning, Computer Vision

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Deep Learning, Machine Learning, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Python Programming, Machine Learning Algorithms, Human Learning, Computer Vision, Computer Programming, Network Model, Machine Learning Software, Network Architecture, Training, Computer Graphic Techniques, Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Machine Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Human Learning, Tensorflow, Python Programming, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Machine Learning, Natural Language Processing, Deep Learning, Machine Learning Algorithms, Tensorflow, Python Programming, Computer Programming, Artificial Neural Networks, Machine Learning Software, Network Model

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Machine Learning, Applied Machine Learning, Deep Learning, Tensorflow, Computer Programming, Javascript, Artificial Neural Networks, Python Programming, Data Model, Machine Learning Software, Mobile Development, Web Development, Computer Vision, Mobile Development Tools, Cross Platform Development, Extract, Transform, Load, Visualization (Computer Graphics), iOS Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

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      G

      Google Cloud

      TensorFlow on Google Cloud

      Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Tensorflow, Google Cloud Platform, Artificial Neural Networks, Human Learning, Machine Learning Software, Python Programming, Cloud Computing, Cloud Platforms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Tensorflow, Machine Learning Algorithms, Machine Learning Software, Applied Machine Learning, Computer Graphic Techniques, Human Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      502 reviews

      Intermediate · Course · 1 - 4 Weeks

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      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Tensorflow, Probability & Statistics, Statistical Analysis, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      701 reviews

      Intermediate · Specialization · 3 - 6 Months

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      D

      DeepLearning.AI

      Custom Models, Layers, and Loss Functions with TensorFlow

      Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Python Programming, Tensorflow, Artificial Neural Networks, Network Architecture, Network Model, Computer Programming, Machine Learning Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

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      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Network Model, Mathematical Theory & Analysis, Natural Language Processing, Reinforcement Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      864 reviews

      Intermediate · Course · 1 - 3 Months

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      D

      DeepLearning.AI

      Custom and Distributed Training with TensorFlow

      Skills you'll gain: Deep Learning, Machine Learning, Tensorflow, Python Programming, Applied Machine Learning, Artificial Neural Networks, Computer Programming, Human Learning, Training, Machine Learning Algorithms, Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      414 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to tensorflow

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    In summary, here are 10 of our most popular tensorflow courses

    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • TensorFlow on Google Cloud: Google Cloud
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI

    Skills you can learn in Machine Learning

    Python Programming (33)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Tensorflow

    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.‎

    Online TensorFlow courses offer a convenient and flexible way to enhance your knowledge or learn new TensorFlow skills. Choose from a wide range of TensorFlow courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in TensorFlow, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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