Machine Learning Projects with TensorFlow 2.0
Build and train models for real-world machine learning projects using Tensorflow 2.0 About This Video Make use of the amazing new feature of TensorFlow 2 called 'Eager Execution' which makes it easier to learn and use Upgrade your skills by building real-world Machine Learning projects Bui...
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| Format: | Elektronisch Video |
| Sprache: | English |
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2020
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| 520 | |a Build and train models for real-world machine learning projects using Tensorflow 2.0 About This Video Make use of the amazing new feature of TensorFlow 2 called 'Eager Execution' which makes it easier to learn and use Upgrade your skills by building real-world Machine Learning projects Build, test and deploy different ML models and learn more modern techniques such as Reinforcement Learning and Transfer Learning In Detail TensorFlow is the world's most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier to learn and use such as "Eager Execution". It will support more platforms and languages, improved compatibility and remove deprecated APIs. This course will guide you to upgrade your skills in Machine Learning by practically applying them by building real-world Machine Learning projects. Each section should cover a specific project on a Machine Learning task and you will learn how to implement it into your system using TensorFlow 2. You will implement various Machine Learning techniques and algorithms using the TensorFlow 2 library. Each project will put your skills to test, help you understand and overcome the challenges you can face in a real-world scenario and provide some tips and tricks to help you become more efficient. Throughout the course, you will cover the new features of TensorFlow 2 such as Eager Execution. You will cover at least 3-4 projects. You will also cover some tasks such as Reinforcement Learning and Transfer Learning. By the end of the course, you will be confident to build your own Machine Learning Systems with TensorFlow 2 and will be able to add this valuable skill to your CV | ||
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| spelling | Ionescu, Vlad VerfasserIn aut Machine Learning Projects with TensorFlow 2.0 Ionescu, Vlad 1st edition. [Erscheinungsort nicht ermittelbar] Packt Publishing 2020 Boston, MA Safari. 1 online resource (1 video file, approximately 4 hr., 20 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed April 29, 2020) Build and train models for real-world machine learning projects using Tensorflow 2.0 About This Video Make use of the amazing new feature of TensorFlow 2 called 'Eager Execution' which makes it easier to learn and use Upgrade your skills by building real-world Machine Learning projects Build, test and deploy different ML models and learn more modern techniques such as Reinforcement Learning and Transfer Learning In Detail TensorFlow is the world's most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier to learn and use such as "Eager Execution". It will support more platforms and languages, improved compatibility and remove deprecated APIs. This course will guide you to upgrade your skills in Machine Learning by practically applying them by building real-world Machine Learning projects. Each section should cover a specific project on a Machine Learning task and you will learn how to implement it into your system using TensorFlow 2. You will implement various Machine Learning techniques and algorithms using the TensorFlow 2 library. Each project will put your skills to test, help you understand and overcome the challenges you can face in a real-world scenario and provide some tips and tricks to help you become more efficient. Throughout the course, you will cover the new features of TensorFlow 2 such as Eager Execution. You will cover at least 3-4 projects. You will also cover some tasks such as Reinforcement Learning and Transfer Learning. By the end of the course, you will be confident to build your own Machine Learning Systems with TensorFlow 2 and will be able to add this valuable skill to your CV Mode of access: World Wide Web. Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos Safari, an O'Reilly Media Company. MitwirkendeR ctb 1838980253 Erscheint auch als Druck-Ausgabe 1838980253 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781838980252/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Ionescu, Vlad Machine Learning Projects with TensorFlow 2.0 Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
| title | Machine Learning Projects with TensorFlow 2.0 |
| title_auth | Machine Learning Projects with TensorFlow 2.0 |
| title_exact_search | Machine Learning Projects with TensorFlow 2.0 |
| title_full | Machine Learning Projects with TensorFlow 2.0 Ionescu, Vlad |
| title_fullStr | Machine Learning Projects with TensorFlow 2.0 Ionescu, Vlad |
| title_full_unstemmed | Machine Learning Projects with TensorFlow 2.0 Ionescu, Vlad |
| title_short | Machine Learning Projects with TensorFlow 2.0 |
| title_sort | machine learning projects with tensorflow 2 0 |
| topic | Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
| topic_facet | Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
| url | https://learning.oreilly.com/library/view/-/9781838980252/?ar |
| work_keys_str_mv | AT ionescuvlad machinelearningprojectswithtensorflow20 AT safarianoreillymediacompany machinelearningprojectswithtensorflow20 |