This article systematically analyzes the problem of defining “artificial intelligence.” It starts by pointing out that a definition influences the path of the research, then establishes four criteria of a good working definition of a notion: being similar to its common usage, drawing a sharp boun...
In recent years, as an important step towards true artificial intelligence (AI), deep learning57has achieved unprecedented performance in many tasks of computer vision with the support of graphics processing units (GPUs) and large datasets. Similarly, since it was first used to solve the inverse ...
Week 4 Quiz Key concepts on Deep Neural Networks(第四周 测验 – 深层神经网络) \1. What is the “cache” used for in our implementation of forward propagation and ba
Deep-learning framework has significantly impelled the development of modern machine learning technology by continuously pushing the limit of traditional recognition and processing of images, speech, and videos. In the meantime, it starts to penetrate other disciplines, such as biology, genetics, material...
2. Overview of deep learning methods 本部分的目的是对我们在本survey的医学图像分析论文中发现的深度学习概念,技术和体系结构进行正式介绍和定义。 2.1. Learning algorithms 机器学习方法虽然有很多细微差别,但通常分为有监督的学习算法和无监督的学习算法。 在监督学习中,模型由输入数据\boldsymbol{x}和标签对y构...
('saved the graph definition in ascii format at: ', osp.join(output_fld, f)) from tensorflow.python.framework import graph_util from tensorflow.python.framework import graph_io constant_graph = graph_util.convert_variables_to_constants( sess, sess.graph.as_graph_def(), pred_...
This also means that the MLE cannot be used directly to interpolate beyond the pairs (x, ℓ) present in the training dataset, in sharp contrast with the GNN which, by definition, can interpolate within the dataset D. Furthermore, all of its parameters are hierarchically involved during ...
Python package built to ease deep learning on graph, on top of existing DL frameworks. - dmlc/dgl
在这项工作中,我们研究了深度学习的信息瓶颈(IB)理论,该理论提出了三个具体分析:首先,深度网络经历两个不同的阶段,包括初始拟合阶段和随后的压缩阶段;第二,压缩阶段与深度网络良好的泛化性能有因果关系;第三,压缩阶段的发生是由于随机梯度下降的扩散行为。这里我们证明,这些说法在一般情况下都不成立。通过分析结果和...
Platform-X的系统架构和作业管理与Microsoft Azure Machine Learning [6]、Amazon SageMaker [7]和Google Cloud AI [8]等公共DL平台非常相似。用户首先通过Web门户或命令行工具上传所有材料,包括输入数据、Python程序、Shell脚本和可能的模型检查点,到分布式存储(例如Azure Blobs1)。接下来,用户为其作业指定资源配额(...