Deep learningMachine learningSynthetic seismogramWe study the applicability of deep learning (DL) methods to generate acoustic synthetic data from 1D models of the subsurface. We designed and implemented a Neural Network (NN) and we trained it to generate synthetic seismograms (common shot gathers) ...
Privacy Guarantees in Synthetic Data Promising Directions for Future Work Back Matter 【干货书】深度学习合成数据,354页pdf,Synthetic Data for Deep Learningwww.zhuanzhi.ai/vip/6f9f7d677df12ebc7398d368c788e4bb 【干货书】深度学习合成数据,354页pdf,Synthetic Data for Deep Learningmp.weixin.qq....
Machine Learning with PyTorch and Scikit-Learn Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka Machine Learning with PyTorch and Scikit-Learn Develop machine learning and deep learning models with PythonSynthetic Data for Deep Learning 格式...
Ding, K., Zhou, M., Wang, H.et al.A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer.Sci Data10, 231 (2023). https://doi.org/10.1038/s41597-023-02125-y Download citation Received12 December 2022 ...
论文标题：MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical...
Leading supplier of synthetic training data to over 50 of the Fortune 500. Multidisciplinary staff of 160, including data scientists and ML engineers.
Deep learning techniques, especially Convolutional Neural Networks (CNN), dominate the benchmarks for most computer vision tasks. These state-of-the-art results are typically obtained through supervised learning, for which large annotated datasets are required. However, acquiring such datasets for ...
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?,程序员大本营,技术文章内容聚合第一站。
In order to promote the usage of synthetic datasets in Earth observation, we introduce SyntEO, an approach for synthetic dataset generation with a particular focus on data from the Earth observation domain. Fig. 1 summarises how a deep learning dataset is commonly created and compares it to a...
NVIDIA developed Deep Object Pose Estimation (DOPE) to find the six DOF pose of an object. In this post, we show how to generate synthetic data to train a DOPE model for an object. Deep Object Pose Estimation Figure 1. DOPE estimating six DOF poses of objects from an RGB imag...