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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

    • Status: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Machine Learning Algorithms, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Data Science, Keras (Neural Network Library), Machine Learning, Predictive Modeling, Data Mining, Artificial Neural Networks, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Classify Images of Cats and Dogs using Transfer Learning

      Skills you'll gain: Tensorflow, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Google Cloud Platform, Deep Learning, Computer Vision

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Data Processing, Artificial Neural Networks, Cloud Computing, Data Cleansing, Data Transformation, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Optimización de Redes Neuronales Profundas

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      ML Pipelines on Google Cloud - Français

      Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning, Application Programming Interface (API)

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Artificial Neural Networks, Data Transformation, Deep Learning, MLOps (Machine Learning Operations), Cloud Computing, Applied Machine Learning, Predictive Modeling, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Model, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP en Español

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Big Data, Cloud API, Jupyter, Machine Learning, Natural Language Processing, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Apache Airflow, Data Pipelines, Continuous Deployment, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Machine Learning

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      How Google does Machine Learning en Français

      Skills you'll gain: Google Cloud Platform, Data Strategy, Tensorflow, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Big Data, Jupyter

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - Português

      Skills you'll gain: MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Continuous Integration, Google Cloud Platform, Tensorflow, Kubernetes, Continuous Deployment, Scikit Learn (Machine Learning Library), Containerization, Machine Learning

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

      Skills you'll gain: Dataflow, Google Cloud Platform, Real Time Data, Data Analysis Software, Data Visualization Software, Big Data, Databases

      Advanced · Project · Less Than 2 Hours

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

    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Classify Images of Cats and Dogs using Transfer Learning: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
    • Optimización de Redes Neuronales Profundas: Universidad Austral
    • ML Pipelines on Google Cloud - Français: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs
    • Smart Analytics, Machine Learning, and AI on GCP en Español: Google Cloud
    • ML Pipelines on Google Cloud - 日本語版: Google Cloud
    • How Google does Machine Learning en Français: Google Cloud

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    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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