À propos de ce Spécialisation

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Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more. Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever. This Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approx. 4 mois pour terminer
3 heures/semaine recommandées
Anglais
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau intermédiaire
Approx. 4 mois pour terminer
3 heures/semaine recommandées
Anglais

Cette Spécialisation compte 4 cours

Cours1

Cours 1

Browser-based Models with TensorFlow.js

4.7
étoiles
569 évaluations
138 avis
Cours2

Cours 2

Device-based Models with TensorFlow Lite

4.6
étoiles
309 évaluations
69 avis
Cours3

Cours 3

Data Pipelines with TensorFlow Data Services

4.0
étoiles
228 évaluations
71 avis
Cours4

Cours 4

Advanced Deployment Scenarios with TensorFlow

4.6
étoiles
206 évaluations
32 avis

Offert par

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deeplearning.ai

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