**Learn how to use TensorFlow Lite. TensorFlow Lite is an open source deep learning framework for on-device inference.**
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 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

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