When you deploy to edge devices such as Raspberry Pi®or FPGAs, choose a model with a low memory footprint, such asSqueezeNetorMobileNet-v2. Code Generation for Deep Learning Networks Products Learn about the
Get the Latest on All Things CODE Sign Up Tony Mongkolsmai Technical Evangelist Intel Corporation Deep learning AI models have grown immensely in the last decade, and along with this rapid growth is an explosion in compute resource requirements. Every larger model requires more computati...
Learn how deep learning works and how to use deep learning to design smart systems in a variety of applications. Resources include videos, examples, and documentation.
Practical MethodologyThe authors provide a guide to the practical aspects of applying deep learning, including how to diagnose problems in model behavior and how to improve models systematically. 第十一章提供了关于应用深度学习的实际方面的指导,包括如何诊断模型行为中的问题以及如何系统地改进模型。 Applicati...
今天小伙伴们带来的是MLSys 2021的一篇论文《A Deep Learning Based Cost Model for Automatic Code Optimization》[1]分析。该论文基于现在的研究热点“Automatic Code Optimization”,创新性的提出了一个基于deep learning的回归模型,该模型可以针对一个完整的程序,预测对这个程序进行一系列优化(code transformations)后能...
With a great team effort, we completed the staged roll-out of the first deep learning model to all the IntelliCode Python users in Visual Studio Code. In the latest release of theIntelliCode extension for Visual Studio Code, we’ve also integrated ONNX Runtime and the LSTM mod...
Deep Residual Learning for Image Recognition- please cite this paper if you use the ResNet model in your work. Rethinking the Inception Architecture for Computer Vision- please cite this paper if you use the Inception v3 model in your work. ...
Here, we present a deep learning model (DLM) for predicting Next-Generation Sequencing (NGS) depth from DNA probe sequences. Our DLM includes a bidirectional recurrent neural network that takes as input both DNA nucleotide identities as well as the calculated probability of the nucleotide being ...
Morris et al. Future Directions in Foundations of Graph Machine Learning. ICML 2024 Zhao et al. GraphAny: A Foundation Model for Node Classification on Any Graph. Arxiv 2024. Code on Github Dong et al. Universal Link Predictor B...
Keras code and weights files for popular deep learning models. - deep-learning-models/mobilenet.py at master · fchollet/deep-learning-models