SqueezeNet: AlexNet-Level Accuracy With 50x Fewer Parameters And <0.5MB Model Size 阅读笔记 - Rainbow2015 - 博客园
Electronics | Free Full-Text | MobileNets Can Be Lossily Compressed: Neural Network Compression for Embedded Accelerators
Codes of Interest | Deep Learning Made Fun: Accuracy of Deep Learning Models Over the Years
Context is Everything: Why Maximum Sequence Length Matters - Cerebras
arXiv:2104.10065v1 [cs.CV] 16 Apr 2021
EfficientNetV2: Smaller Models and Faster Training – arXiv Vanity
Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images | Scientific Reports
arXiv:2104.05707v1 [cs.CV] 12 Apr 2021
Top-# Accuracy
Enabling AI at the Edge with XNOR-Networks | December 2020 | Communications of the ACM
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning | PNAS
Overfitting in model training(with Ignite) - PyTorch Forums
Best deep CNN architectures and their principles: from AlexNet to EfficientNet | AI Summer
Top 1 vs top 5 accuracy in Deep Learning - YouTube
Top-1% and Top-5% testing accuracy on TinyImageNet-200 dataset. | Download Scientific Diagram
Entropy | Free Full-Text | Compression Helps Deep Learning in Image Classification
Human-level computer vision is not real - by Yin Wang
Reducing your labeled data requirements (2–5x) for Deep Learning: Deep Mind's new “Contrastive Predictive Coding 2.0” | by Less Wright | Medium
python - Is that possible that top-5 accuracy lower than top-1 accuracy? - Stack Overflow
Deep learning based image classification for intestinal hemorrhage | Multimedia Tools and Applications
Top 5 models explored summary is not correct. It doesn't match to the best model accuracy · Issue #10 · dotnet/machinelearning-modelbuilder · GitHub
There is no human-level computer vision – Surely I Am Joking
Top 5 accuracy, top 1 accuracy, and the number of parameters of... | Download Scientific Diagram
