Laurence Moroney
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’ll learn how to prepare models for a lower–powered, battery–operated devices, then execute models on both Android and iOS platforms. Finally, you’ll 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. deeplearning.ai is Andrew Ng’s new venture which amongst others, strives for providing comprehensive AI education beyond borders.
Instructor Details
Courses : 8
Specification: Device-based Models with TensorFlow Lite
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18 reviews for Device-based Models with TensorFlow Lite
Add a review
| Price | Free |
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| Provider | |
| Duration | 11 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Desire D W –
Great course, content and instructor, but the assignment had some issues. I submitted over 10 times without any feedback other then ‘Grader Malfunction’. Also, all those times, the test cells in the notebook (put together by the instructors) ran smoothly, leaving my in the dark how to fix it. Was a bit of a frustrating experience. Other than that, great content, very condense, very valuable to know how to deploy models on apps or small machines. This course inspired me to learn more about robotics to apply ML on physical projects.
Mo R –
A great course to learn how to implement any Deep Learning models on edge devices.
Igor M –
This course provided useful information on device specific implementation of TFlite. With an interesting optional assignments, though the assignments are the same with just some small differences in implementation.
Michael –
Great course, very practical in the real world. It also balances and accommodates developers on what devices you have available. Looking forward to the next course
Bourgoin C –
Interesting course on how to use Tensorflow Lite on mobile phone or raspberry. More projects & sometimes more explanations about configuration would be necessary.
Marco A P N –
Awesome. I learned a lot
Nick S –
I am reallt disappointed by this course. I could not pass the exercise on week 1 because of a cryptic module error. Unfortunately, no support the team was provided to solve the issue. The forum is almost not active at all.
seyed r m –
excellent course with practical examples on using TensorFlow Lite on Raspberry, Android and iOS
pervesh M –
exceptionally brilliant work
Christian J R F –
Great course, a bit short of content and exercises but it was well designed.
Qi D –
great!!!exactly what i want for my undergrad thesis application
Ravi S –
Just one recommendation, may be an exercise on a NLP Model deployment (Text or audio) could have been added rather than all 3 examples of computer vision
Carlos C E –
Amazing introduction course to Tensorflow models deployment on different devices.
Balaji B –
Nice Course! The course contents are awesome eager to use this in all my learning in future
Pavel K –
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
Ali E –
I checked this course for free. The subject matter is very interesting and I wished it had reasonable support (mentor response) and portability (meaning running on my own computer). Unfortunately, while Mr. Moroney does an excellent job at presenting the class, the exercises are unstable, crash for reasons other than my own code and there is ABSOLUTELY ZERO tech support! The discussion forum is an empty echo chamber. As usual, one wastes time trying to debug stupid python routine crashes that have nothing to do with the actual problem at hand. Cousera, you cannot charge for this class!
Ashwin R P –
Was a great course.Had some hands on experience on codes using Gcollabs.Additionally helped me complete my project of deploying ML on android.
Jose R C T –
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!