注意模块使网络聚焦于包含感兴趣对象的较小区域[Wu和Ogai,2020]利用自我注意机制提升有用特征并抑制无用特征[Xie et al.,2020]设计了两个注意力模块和一个用于三维目标检测的特征融合模块,能够在patch、目标和全局场景级别利用上下文信息。类似地,[Liu et al.,2020b]提出了一个三重注意模块,它综合考虑了通道、...
Lidar Processing Using Deep Learning Natural Language Processing Leverage the natural language capabilities of large language models (LLMs). To use LLMs, connect MATLAB to the OpenAI™ Chat Completions API or load a built-in model (BERT). Large Language Models with MATLAB Interactively...
出版社:Manning Publications 副标题:Math, Algorithms, Models 定价:USD 59.99 装帧:Paperback ISBN:9781617298639 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machin...
One of the things I’m very excited about is the rapidly growing support for deep learning in the ArcGIS. The Image Analyst extension in ArcGIS Pro includes aDeep Learning toolsetbuilt just for analysts. A simplified deep learning installer packages the necessary dependencies and simplifies the exp...
pytorch-widedeep A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in PytorchDocumentation: https://pytorch-widedeep.readthedocs.ioCompanion posts and tutorials: infinitoml
What is Bayesian Deep Learning? Bayesian Deep Learning (BDL) combines the strengths of Bayesian probability theory with deep learning and enables uncertainty estimation in deep neural networks. BDL models enable you to build robust, trustworthy AI systems, opening the door for broader ado...
一种受Deep Dream 启发的归因算法被应用于肝部CT图像肿瘤分割的解释任务。该方法通过执行梯度上升来最大限度地激活目标神经元,对这些特征进行敏感度分析,找到函数的最陡斜率。 4.1.5. X-ray Imaging 在利用X-ray图像进行COVID-19的检测任务下,GSInquire 被用于产生heatmap来验证COVID-19神经网络学习的特征的合理性...
摘要 Multimodal learning has become a pivotal approach in developing robust learning models with applications spanning multimedia, robotics, large language models, and healthcare. The efficiency of multimodal systems is a critical concern, given the varying costs and resource demands of different modalitie...
In recent years, it has been revealed that machine learning models can produce discriminatory predictions. Hence, fairness protection has come to play a pi
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy. Netron has experimental support for TorchScript, TensorFlow, MXNet, OpenVINO, RKNN, ML.NET,...