From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks Published 2020-08-14 Download video MP4 360p Download video MP4 720p Recommendations 1:15:14 What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2) 1:11:04 Directions in ML: "Neural architecture search: Coming of age" 59:00 An Introduction to Graph Neural Networks: Models and Applications 29:56 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained) 03:57 Lamport on discovering the Bakery Algorithm 1:24:59 The opportunities with AI and machine learning 05:48 AutoGen Update: Complex Tasks and Agents 1:22:38 CS480/680 Lecture 19: Attention and Transformer Networks 48:06 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained) 1:16:53 Graph Representation Learning (Stanford university) 08:13 SqueezeNet 12:46 CNN Architectures - SqueezeNet implementation | MLT 1:05:16 Hopfield Networks is All You Need (Paper Explained) 18:07 Graph neural networks: Variations and applications 07:53 How does the curvature of spacetime create gravity? 28:48 LSTM is dead. Long Live Transformers! 34:30 Big Bird: Transformers for Longer Sequences (Paper Explained) 15:05 Variational Autoencoders 10:19 MLT CNN Architectures: SqueezeNet - theory Similar videos 14:39 SqueezeNet | Lecture 17 (Part 1) | Applied Deep Learning 10:28 Light-weight models introduction | SqueezeNet | MobileNet | Shufflenet | Code Analysis 00:45 Chapter2 : part14 : SqueezeNet model 12:03 MLT CNN Architectures: SqueezeNet - implementation 14:20 DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture 22:41 SqueezeNAS: Fast neural architecture search for faster semantic segmentation 32:00 [Paper review with code] CNN architecture - SqueezeNet 00:17 Image and high FPS video classification using PyTorch SqueezeNet model 1:10:03 Efficient and Scalable Deep Learning 52:21 Perception Systems for Autonomous Vehicles using Energy-Efficient Deep Neural Networks 16:24 [NNQ&CND Study] SqueezeNet: AlexNet-level accuracy with 50x fewer parameters 24:36 [NNQ&CND Study] SqueezeNext: Hardware-Aware Neural Network Design 01:01 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions 01:35 What is AlexNet? - Convolutional Neural Network 02:23 Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model 00:52 SqueezeDet sequence demo test 01:59 Synopsys' Bert Moons Introduces Techniques for Efficient Neural Network Implementations (Preview) 19:45 EP09 Computer Vision for AI: Image Classification for NCS2 with Squeezenet and GoogLeNet More results