通过人工智能可解释性算法积分梯度法(Integrated Gradients),本文分析ResoNet的ENSO预测逻辑,发现其中的物理机制与现有的很多机制,如充放电模型、季节足迹机制吻合,并可以自动发现厄尔尼诺和拉尼娜形成过程中的不对称现象。本文还发现引导聚集算法(...
Algorithm: DARKNET-19 AI Model: YOLO v3 Tiny Boards: PYNQ-Z2 FPGA Borad Main tool: Xilinx Vivado, Vitis AI Developing Quantization DARKNET-19 parameters to INT8 type. Coding reference code in python. (all parameters are called in txt files.) ...
_op_type, --> 678 use_cudnn=self._use_cudnn) 679 return out 680 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/nn/functional/conv.py in _conv_nd(x, weight, bias, stride, padding, padding_algorithm, dilation, groups, data_format, channel_dim, op_type, ...
Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples ofneural networks-- a type of deep learning algorithm modeled after how the human brain works. CNNs, one of the oldest and most popular of thedeep learningmodels, were introduced in the 1980s and are...
Cloud—based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructureHuman upper body partsOcclusionMMISAI-CNNDynamic environment2D image3D imageEnhancing Security infrastructure in the cloud data center has been a typical task that includes tracking human motion and ...
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network is a type of deep learning algorithm that is most often applied to analyze and learn visual features from large amounts of data. While primarily used for image-related AI applications, CNNs can be used for other AI tasks, including natural language processing and in recommendation ...
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The team created a machine learning algorithm to analyze images collected by synthetic aperture radar (SAR), a satellite imagery technique that uses radio waves to detect objects hidden beneath surfaces including vegetation, sand, soil and ice. Neither technology is new: SAR imagery has been in us...
Then the other direction was a revival of neural networks — a particular kind of learning algorithm first explored in the 1950s and 1960s that drew inspiration from the network of neurons in the human brain. But they were extremely limited in what they could do. In the late 1980s, we ...