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. This second course teaches you how to run your machine learning models in mobile applications. You鈥檒l learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you鈥檒l explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Introduction, A conversation with Andrew
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Skills You'll Learn
Deep Learning, Tensorflow, TensorFlow Lite, Computer Vision, Mobile Development, Mathematical Optimization, Applied Machine Learning, Object Detection, Machine Learning, Python Programming
Reviews
4.7 (655 ratings)
- 5 stars78.01%
- 4 stars16.18%
- 3 stars4.27%
- 2 stars0.76%
- 1 star0.76%
JC
Mar 31, 2020
One of the most useful and exciting courses I've ever done! Especially for the information available in the last (4th) week. Very interesting material and full of practical potential!
PP
Mar 24, 2020
The material is really interesting. The ability to try out trained models on your own device is awesome! However there are some errors in tasks, Week 4 seems a little bit raw
From the lesson
Running a TF model in an Android App
Taught By
Laurence Moroney
Instructor