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    • Tensorflow

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    169 resultados para "tensorflow"

    • DeepLearning.AI

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Habilidades que obtendrás: Analysis, Applied Machine Learning, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Classification, Statistical Machine Learning, Statistical Programming, Time Series

      4.7

      (21.9k reseñas)

      Intermediate · Professional Certificate

    • DeepLearning.AI

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Habilidades que obtendrás: 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, Programming Principles, Python Programming, Statistical Programming

      4.8

      (1k reseñas)

      Intermediate · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Advanced Learning Algorithms

      Habilidades que obtendrás: Computer Programming, Artificial Neural Networks, Machine Learning, Applied Machine Learning, Python Programming, Computer Vision, Machine Learning Algorithms, Statistical Programming, Deep Learning

      4.9

      (41 reseñas)

      Beginner · Course

    • DeepLearning.AI

      DeepLearning.AI

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

      Habilidades que obtendrás: Computer Programming, Python Programming, Programming Principles, Convolutional Neural Network, Keras, Artificial Neural Networks, Statistical Programming, Applied Machine Learning, Computer Graphic Techniques, Computer Vision, Deep Learning, Tensorflow, Computer Graphics, Machine Learning

      4.7

      (17.3k reseñas)

      Intermediate · Course

    • Imperial College London

      Imperial College London

      TensorFlow 2 for Deep Learning

      Habilidades que obtendrás: Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Python Programming, Statistical Programming

      4.8

      (563 reseñas)

      Intermediate · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Deep Learning

      Habilidades que obtendrás: Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Psychology, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Deep Learning, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Network Architecture, Object Detection, Probability & Statistics, Python Programming, Regression, Sales, Speech, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.8

      (133.2k reseñas)

      Intermediate · Specialization

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      DeepLearning.AI

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Habilidades que obtendrás: Android Development, Application Development, Applied Machine Learning, Computer Architecture, Computer Programming, Computer Vision, Cross Platform Development, Data Management, 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, Theoretical Computer Science, Visualization (Computer Graphics), Web Development, iOS Development

      4.6

      (1.3k reseñas)

      Intermediate · Specialization

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      Imperial College London

      Imperial College London

      Getting started with TensorFlow 2

      Habilidades que obtendrás: Computer Programming, Statistical Programming, Artificial Neural Networks, Machine Learning, Tensorflow, Keras, Python Programming, Applied Machine Learning, Deep Learning, Computer Vision

      4.9

      (460 reseñas)

      Intermediate · Course

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      Coursera Project Network

      Coursera Project Network

      Basic Image Classification with TensorFlow

      Habilidades que obtendrás: Statistical Classification, Computer Networking, Computer Programming, Network Model, Tensorflow, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Statistical Programming, Deep Learning, Keras

      4.6

      (727 reseñas)

      Beginner · Guided Project

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      Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Habilidades que obtendrás: 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, Mathematical Optimization, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (24k reseñas)

      Intermediate · Professional Certificate

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      Coursera Project Network

      Coursera Project Network

      TensorFlow for AI: Neural Network Representation

      Habilidades que obtendrás: Computer Programming, Tensorflow, Machine Learning, Deep Learning, Python Programming

      4.2

      (17 reseñas)

      Intermediate · Guided Project

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      Google Cloud

      Google Cloud

      Intro to TensorFlow en Español

      Habilidades que obtendrás: Computer Programming, Type I And Type Ii Errors, Agile Software Development, Web Development, Tensorflow, Front-End Web Development, Statistical Programming, Full-Stack Web Development, Python Programming, Applied Machine Learning, Machine Learning, Deep Learning, Software Engineering

      4.4

      (122 reseñas)

      Intermediate · Course

    Búsquedas relacionadas con tensorflow

    tensorflow: advanced techniques
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    tensorflow: data and deployment
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    tensorflow on google cloud
    tensorflow for cnns: learn and practice cnns
    tensorflow for ai: applying image convolution
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    1234…15

    En síntesis, estos son los 10 cursos más populares tensorflow

    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Advanced Learning Algorithms: 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
    • Getting started with TensorFlow 2: Imperial College London
    • Basic Image Classification with TensorFlow: Coursera Project Network
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud

    Habilidades que puedes aprender en Machine Learning

    Programación Python (33)
    Aprendizaje Profundo (30)
    Red Neuronal Artificial (24)
    Macrodatos (18)
    Clasificación Estadística (17)
    Aprendizaje por refuerzo (13)
    Álgebra (10)
    Bayesiana (10)
    Álgebra Lineal (10)
    Regresión Lineal (9)
    NumPy (9)

    Preguntas frecuentes sobre 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.‎

    Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.
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