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/ ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ 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: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 AppWrite -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news