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Learner Reviews & Feedback for Introduction to On-Device AI by DeepLearning.AI

4.5
stars
11 ratings

About the Course

As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more.
Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device:
1. Explore how deploying models on device reduces latency, enhances efficiency, and preserves privacy. 2. Go through key concepts of
on-device deployment such as neural network graph capture, on-device compilation, and hardware acceleration. 3. Convert pretrained models
from PyTorch and TensorFlow for on-device compatibility. 4. Deploy a real-time image segmentation model on device with ju...
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1 - 3 of 3 Reviews for Introduction to On-Device AI

By Kokmin W

•

Sep 16, 2024

Very insightful and well planned training

By ascendho

•

Jan 14, 2025

I'm not quite used to the Indian teacher's English accent, even though I know he is trying hard to impart knowledge.

By Padam J T

•

Dec 28, 2024

Quantization video code wasn't working for the loading of dataset.