Lecture 12 - Deep neural networks compression | Deep Learning on Computational Accelerators Published 2019-05-27 Download video MP4 360p Recommendations 1:13:09 Lecture 10 | Recurrent Neural Networks 26:10 Is democracy being restored or undermined in Poland? - World Questions, BBC World Service 40:06 Neural Networks from Scratch - P.5 Hidden Layer Activation Functions 1:13:59 Lecture 4 | Introduction to Neural Networks 12:26 Everyone should see this experiment for themselves 33:47 Neural Networks from Scratch - P.4 Batches, Layers, and Objects 51:52 Tutorial 6 - Transfer Learning & Domain Adaptation | Deep Learning on Computational Accelerators 1:14:40 Lecture 3 | Loss Functions and Optimization 48:55 Jensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOps 4:35:42 Deep Learning With PyTorch - Full Course 07:13 Elon Musk sues OpenAI and CEO Sam Altman over contract breach 16:50 Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!! 31:22 The Trillion Dollar Equation 1:08:56 Lecture 5 | Convolutional Neural Networks 23:22 The StatQuest Introduction to PyTorch 21:49 Nuclear waste is not the problem you've been made to believe it is 16:56 Stable Diffusion in Code (AI Image Generation) - Computerphile 06:04 Elon Musk sues ChatGPT-maker OpenAI | BBC News 22:35 Yuval Noah Harari: 'There is a battle for the soul of the Israeli nation' 13:33 CUDA Explained - Why Deep Learning uses GPUs Similar videos 1:18:05 Lecture 9 - DNN Compression and Quantization | Deep Learning on Hardware Accelerators 25:37:26 PyTorch for Deep Learning & Machine Learning – Full Course 1:07:07 Lecture 03 - Pruning and Sparsity (Part I) | MIT 6.S965 27:51 Deep Compression (Continued) | Lecture 16 | Applied Deep Learning 1:52:25 ESWEEK 2021 Education - Neural Network Accelerator Design 1:18:46 Compress Deep Learning models 10,000x with Probabilistic Hash Functions 15:58 Deep Learning Model Compression 1:35:25 Lecture 5 - Recurrent Neural Networks | Deep Learning on Computational Accelerators 1:14:24 1. Artificial Intelligence and Machine Learning 25:08 Deep Neural Network Accelerators for IoT Applications 1:35:40 IJCNN 2021 Tutorial: Accelerating Deep Learning Computation 1:11:43 Lecture 05 - Quantization (Part I) | MIT 6.S965 33:32 Techniques for Efficient Implementation of Deep Neural Networks, Song Han @ Embedded vision summit 1:11:45 A. Richard Newton Distinguished Innovator Lecture Series March 5, 2018 14:52 Inference in Deep Learning 52:59 Putting AI on Diet: TinyML and Efficient Deep Learning More results