TensorFlow Lite for Edge Devices – Tutorial



Learn how to use TensorFlow Lite. TensorFlow Lite is an open source deep learning framework for on-device inference. 💻 Code: https://github.com/bhattbhavesh91/freecodecamp-tflite ✏️ Course from Bhavesh Bhatt. Check out his channel: https://www.youtube.com/c/BhaveshBhatt8791/ ⭐️ Course Contents ⭐️
(0:00:00) Introduction
(0:00:20) Why do we need TensorFlow Lite?
(0:04:10) What is Edge Computing?
(0:05:06) Why is Edge Computing gaining popularity?
(0:08:30) Challenges in deploying models on Edge devices
(0:09:27) What is TensorFlow Lite or TFLite?
(0:10:06) TensorFlow Lite Workflow
(0:13:30) Creating a TensorFlow or Keras model
(0:32:54) Converting a TensorFlow or Keras model to TFLite
(0:36:08) Validating the TFLite model performance
(0:46:08) What is Quantization?
(0:47:35) Compressing the TFLite model further
(0:51:55) Compressing the TFLite model even further
(0:55:08) Validating the most compressed TFLite model performance
(0:58:46) Thank You 🎉 Thanks to our Champion and Sponsor supporters:
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TensorFlow Lite for Edge Devices – Tutorial

TensorFlow Lite for Edge Devices – Tutorial

 

 

 

 

 

 

 

 

 

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