Through the above steps, we will realize an image classification system that fuses deep learning and machine learning models to improve classification accuracy and efficiency, and provide users ...

Deep learning, a subfield of machine lLearning, has recently advanced the state-of-the-art learning from images and become the standard approach for computer vision tasks. We will present a case study ...

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This approach avoids the ...

A fusion model design is used in WiMi's deep transfer learning-based image classification fusion model, which combines several pre-trained deep learning models and integrates them by transfer ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

With the successful application of deep transfer learning on image classification tasks, in the future, WiMi will focus more on exploring and improving the image classification fusion model based ...