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    • Tensorflow

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    238 results for "tensorflow"

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Machine Learning, Deep Learning, Tensorflow, Artificial Neural Networks, Computer Vision, Data Science, Computer Programming, Python Programming, Statistical Programming, General Statistics, Natural Language Processing, Probability & Statistics, Business Psychology, Entrepreneurship, Forecasting, Applied Machine Learning, Communication, Machine Learning Algorithms, Marketing, Calculus, Data Visualization, Mathematics, Programming Principles, Statistical Machine Learning, Computer Graphic Techniques, Computer Graphics, Machine Learning Software

      4.7

      (23.3k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

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

      Skills you'll gain: Machine Learning, Tensorflow, Computer Vision, Deep Learning, Artificial Neural Networks, Computer Programming, Python Programming, Statistical Programming, Applied Machine Learning, Programming Principles, Computer Graphic Techniques, Computer Graphics, Machine Learning Algorithms, Machine Learning Software

      4.8

      (18.3k reviews)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Deep Learning, Tensorflow, Machine Learning, Python Programming, Applied Machine Learning, Computer Programming, Statistical Programming, Computer Vision, Artificial Neural Networks, Computer Architecture, Computer Networking, Distributed Computing Architecture, Machine Learning Algorithms, Machine Learning Software, Mathematics, Network Architecture, Network Model, Basic Descriptive Statistics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Probability & Statistics, Programming Principles

      4.8

      (1.2k reviews)

      Intermediate · Specialization · 3-6 Months

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      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Machine Learning, Tensorflow, Deep Learning, Computer Programming, Python Programming, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Probability & Statistics, Probability Distribution, Machine Learning Algorithms, Data Visualization, Bayesian Statistics, Natural Language Processing, Advertising, Communication, Marketing, Operations Research, Research and Design

      4.8

      (639 reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Skills you'll gain: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (16k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Machine Learning, Tensorflow, Applied Machine Learning, Deep Learning, Computer Programming, Python Programming, Data Management, Extract, Transform, Load, Mobile Development, Data Science, Marketing, Statistical Programming, Computer Vision, Mobile Development Tools, Artificial Neural Networks, Computer Science, iOS Development, Javascript, Machine Learning Software, Data Model, Android Development, Application Development, Computer Architecture, Entrepreneurship, Leadership and Management, Microarchitecture, Problem Solving, Research and Design, Software Engineering, Swift Programming, Theoretical Computer Science, Cross Platform Development, Data Visualization, HTML and CSS, Java Programming, Machine Learning Algorithms, Security Engineering, Visualization (Computer Graphics), Web Development

      4.6

      (1.3k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (9.5k reviews)

      Beginner · Specialization · 1-3 Months

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      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Machine Learning, Cloud Computing, Computer Programming, Statistical Programming, Python Programming, Applied Machine Learning, Feature Engineering, Google Cloud Platform, Tensorflow, Deep Learning, Probability & Statistics, Data Analysis, Entrepreneurship, Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Regression, SQL, Statistical Visualization, Data Science, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Computer Architecture, Data Management, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, Statistical Machine Learning, Theoretical Computer Science, Algorithms, Business Analysis, Business Psychology, Data Analysis Software, Dimensionality Reduction, Distributed Computing Architecture, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development

      4.5

      (9.4k reviews)

      Intermediate · Specialization · 3-6 Months

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      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: C++ Programming, Cloud Computing, Machine Learning, Tensorflow

      Beginner · Project · Less Than 2 Hours

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      Imperial College London

      Getting started with TensorFlow 2

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

      4.9

      (515 reviews)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      Building Deep Learning Models with TensorFlow

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

      4.4

      (710 reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Visualizing Filters of a CNN using TensorFlow

      Skills you'll gain: Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Tensorflow

      4.5

      (59 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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

      Skills you can learn in Machine Learning

      Python Programming (33)
      Tensorflow (32)
      Deep Learning (30)
      Artificial Neural Network (24)
      Big Data (18)
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      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.‎

      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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