Are you planning to deploy a deep learning model on any edge device (microcontrollers, cell phone or wearable device)? You need to optimize or downsize your huge model so that you can run the model efficiently in low resource environment. Quantization is the technique that let's you do that. In this video we will cover topics outlined below, ⭐️ Timestamps ⭐️ 00:00 Overview 01:03 What is Quantization? 03:49 Two ways to perform Quantization 03:56 Post training Quantization 04:47 Quantization aware training 05:47 Coding Code: https://github.com/codebasics/deep-le... Tensorflow articles on quantization: https://www.tensorflow.org/model_opti... https://www.tensorflow.org/model_opti... https://blog.tensorflow.org/2020/04/q... Deep learning playlist: • Deep Learning With Tensorflow 2.0, Ke... Machine learning playlist : https://www.youtube.com/playlist?list... 🔖Hashtags🔖 #quantization #quantizationtensorflow #quantizationneuralnetwork #quantizationdeeplearning #tflitequantization #tflitequantizationawaretraining #tensorflowquantizationtutorial