PaddlePaddle, Baidu’s open source framework for deep learning, is now compatible with the Kubernetes cluster management system to allow large models to be trained anywhere Kubernetes can run. This doesn’t simply expand the range of systems that can be used for PaddlePaddle training; it also pro...
The deep learning community has embraced this trend by developing new network architectures to perform various tasks on 3D data. The sheer volume of possibilities (data layouts, data augmentation, convolution strategies, etc…) is such that it can be time-consuming to find the best fit...
The data imbalance, however, usually complicates the learning process, especially for the minority classes, and results in deteriorated performance. In this article, we propose a regularized ensemble framework of deep learning method to handle the imbalanced, multi-class learning problems. This method...
In this work, we introduce protein distance net (PDNET), a framework that consists of one such representative dataset along with the scripts for training and testing deep learning methods. The framework also includes all the scripts that were used to curate the dataset, and generate the input ...
随着深度学习技术的快速发展和在工业领域的不断应用,人们为了快速搭建神经网络,简化反向传播中的梯度下降,对打造一个深度学习框架提出了强烈需求。目前,主流的深度学习框架有 PyTorch、TensorFlow 以及 Caffe …
简介 A framework for deep learning AI 发行版 暂无发行版 openEuler_ai 开源评估指数 生产力 创新力 稳健性 协作 贡献者 软件 贡献者 (15) 全部 近期动态 2天前更改了任务 #I4T80P CVE-2022-23584 的状态为待办的 2天前更改了任务 #I4T80M CVE-2022-23588 的状态为待办的 2天前更改了任务...
今天阅读了一篇论文,题目叫《DRN: A Deep Reinforcement Learning Framework for News Recommendation》。该论文便是深度强化学习和推荐系统的一个结合,也算是提供了一个利用强化学习来做推荐的完整的思路和方法吧。本文便是对文章中的内容的一个简单的介绍,希望对大家有所启发。
总结——A multimodal deep learning framework for predicting drug–drug interaction events DDIMDL首先利用药物的化学亚结构、靶点、酶和通路四类特征,分别构建基于深度神经网络的子模型,然后采用联合DNN框架将这些子模型组合起来,学习药物-药物对的跨模表征,预测DDI事件。 基于相似性的方法是这些方法中的一个主要类别...
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 ...
and a deep-learning-based model for CPI prediction called DeepDTA31. All the prediction methods were evaluated on a benchmark data set through cross-validation. The area under the receiver operating characteristics curve (AUC) and the area under the precision-recall curve (AUPR) were used to ev...