Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors. Check out theproject sitefor all the details like ...
structure predictions, coevolution-based signals5, and raw features such as the pair frequencies matrix, the covariance matrix6, the compressed covariance matrix7, and the precision matrix8. How to best engineer these features for deep learning algorithms also remains an open question. How useful t...
A novel framework for the automated evaluation of various deep learning-based splice site detectors is presented. The framework eliminates time-consuming development and experimenting activities for different codebases, architectures, and configurations to obtain the best models for a given RNA splice site...
An Efficient and Non-Intrusive GPU Scheduling Framework for Deep Learning Training System Abstract GPU调度可以减少DL训练的时间,调度系统一般给一个任务固定数量的GPU。现在出现了动态分配的调度,更好的利用了资源。但是现有的工作,要么在调度和重启任务的时候带来了较大的额外负担,要么需要改动上层框架。
深度神经网络 (DNN) 是一种判别模型,可以使用反向传播算法进行训练,具备至少一个隐层的神经网络。与浅层神经网络类似,深度神经网络也能够为复杂非线性系统提供建模,但多出的层次为模型提供了更高的抽象层次,因而提高了模型的能力 卷积神经网络 (CNN) 由一个或多个卷积层和顶端的全连通层 (对应经典的神经网络) 组...
Abstract We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data. fVDB provides a complete set of differentiable primitives to build deep learning architectures for common tasks in 3D learning such as convolution, pooling, attention, ray-tracing, meshing, etc. ...
Open Source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Caffe2is adeep learning frameworkenabling simple and flexible deep learning. Built on the originalCaffe, Caffe2 is designed with expression, speed, and modularity in mind, allowing for a more flexible way to organize computation. Caffe2 aims to provide an easy and straightforward way for you to...
Caffe: a fast open framework for deep learning. Contribute to conner99/caffe development by creating an account on GitHub.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors. Check out theproject sitefor all the details like ...