Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
Este curso forma parte de Programa especializado: TensorFlow: Data and Deployment
Ofrecido Por


Acerca de este Curso
Basic understanding of Kotlin and/or Swift
Qué aprenderás
Prepare models for battery-operated devices
Execute models on Android and iOS platforms
Deploy models on embedded systems like Raspberry Pi and microcontrollers
Habilidades que obtendrás
- TensorFlow Lite
- Mathematical Optimization
- Machine Learning
- Tensorflow
- Object Detection
Basic understanding of Kotlin and/or Swift
Ofrecido por
Programa - Qué aprenderás en este curso
Device-based models with TensorFlow Lite
Running a TF model in an Android App
Building the TensorFLow model on IOS
TensorFlow Lite on devices
Reseñas
- 5 stars77,23 %
- 4 stars16,63 %
- 3 stars4,55 %
- 2 stars0,87 %
- 1 star0,70 %
Principales reseñas sobre DEVICE-BASED MODELS WITH TENSORFLOW LITE
Good introduction into getting TensorFlow models up and running on different platforms from microcontrollers, raspberry PI through to IOS and Android
Very advanced content at this time of Deep Learning Era.
Many Thanks for Mr.Laurence Moroney for his special efforts.
Perfect course to learn about TensorflowLite and deploying tflite models on various devices. Excellent instructor and course structure. This is one that I was looking for!
Excellent study material, lot of new concepts on different platforms with the same ideology of the workflow really made it a good combo of fastly taught topics but with similar connecting dots!
Acerca de Programa especializado: TensorFlow: Data and Deployment

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