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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: Free
      Free

      Coursera Project Network

      Creating Multi Task Models With Keras

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Google Cloud

      Vertex Pipelines: Qwik Start

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow

      Intermediate · Project · Less Than 2 Hours

    • Google Cloud

      Feature Engineering en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Data Processing, Data Modeling, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

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

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

      3.4
      Rating, 3.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Medical Imaging, Performance Tuning

      Advanced · Course · 1 - 3 Months

    • Packt

      Deep Learning - Crash Course 2023

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), NumPy, Matplotlib, Python Programming, Artificial Neural Networks, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Network Model, Data Manipulation, Regression Analysis

      Beginner · Course · 3 - 6 Months

    • Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Machine Learning Methods, Network Architecture, Linear Algebra, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Orchestrating a TFX Pipeline with Airflow

      Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods

      1.3
      Rating, 1.3 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Packt

      Recommender Systems Complete Course Beginner to Advanced

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Predictive Analytics, Deep Learning, Machine Learning, NumPy, Pandas (Python Package)

      Intermediate · Course · 1 - 4 Weeks

    • University of Glasgow

      Generative Pre-trained Transformers (GPT)

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Prompt Engineering, Tensorflow, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Creating Multi Task Models With Keras: Coursera Project Network
    • Vertex Pipelines: Qwik Start: Google Cloud
    • Feature Engineering en Español: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Deep Learning - Crash Course 2023: Packt
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Foundations of Deep Learning and Neural Networks: Packt
    • Orchestrating a TFX Pipeline with Airflow: 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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