Deep Learning With Tensorflow 2.0, Keras and Python - Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)

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-learning-keras-tf-tutorial/blob/master/49_quantization/quantization.ipynb Tensorflow articles on quantization: https://www.tensorflow.org/model_optimization/guide/quantization/training https://www.tensorflow.org/model_optimization/guide/quantization/post_training https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw   🔖Hashtags🔖 #quantization #quantizationtensorflow #quantizationneuralnetwork #quantizationdeeplearning #tflitequantization #tflitequantizationawaretraining #tensorflowquantizationtutorial Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. 🌎 Website: https://www.codebasics.io/ 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.