tinyML Talks: A Practical Guide to Neural Network Quantization Published 2021-09-29 Download video MP4 360p Recommendations 50:55 Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 07:14 Neural Network Learns to Play Snake 18:40 But what is a neural network? | Chapter 1, Deep learning 12:21 CS Professor Sounds Alarm on AI and Programmers 55:15 MIT 6.S191: Convolutional Neural Networks 50:26 Tom Goldstein: "What do neural loss surfaces look like?" 52:51 Deep Dive on PyTorch Quantization - Chris Gottbrath 58:07 Aligning LLMs with Direct Preference Optimization 11:09 Intro to TinyML Part 1: Training a Neural Network for Arduino in TensorFlow | Digi-Key Electronics 08:39 Why Computer Vision Is a Hard Problem for AI 15:34 Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python) 57:57 Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition 06:59 Understanding: AI Model Quantization, GGML vs GPTQ! 2:14:03 Quantization Sparsification 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 59:18 tinyML Talks Lukas Geiger: Binarized Neural Networks on microcontrollers 17:07 LoRA explained (and a bit about precision and quantization) Similar videos 1:34:04 tinyMLSummit 2021 Qualcomm Tutorial: Advanced network quantization and compression through the AIMET 10:07 Downsizing Neural Networks by Quantization - Introduction to Deep Learning 45:36 Tutorial (TVMCon 2021) - Neural Network Quantization with Brevitas 1:11:43 Lecture 05 - Quantization (Part I) | MIT 6.S965 1:13:49 TinyML Book Screencast #4 - Quantization 25:43 tinyML Research Symposium 2021: Quantization-Guided Training for Compact TinyML Models 37:51 [SPCL_Bcast] TinyML and Efficient Deep Learning 04:04 Neural network quantization with AdaRound 06:12 Hessian AWare Quantization V3: Dyadic Neural Network Quantization 10:56 tinyML Research Symposium 2021 Poster: TENT: Efficient Quantization of Neural Networks on the tiny.. More results