Environment Setup The following code sets up the necessary environment for our GPT2 implementation with MindSpore. We begin by installing the required libraries and setting up environment variables. %%capture captured_output # The environment is pre-configured with mindspore==2.2.14 # To change the...
Mask R-CNN Overview Mask R-CNN serves as an elegent and versatile framework for object instance segmentation. Beyond detecting objects within images, it simultaneously generates high-quality segmentation masks for each detected instance. The architecture extends Faster R-CNN by adding a mask predict...
Raw data loaded directly from storage is rarely formatted correctly for direct neural network training. MindSpore provides a suite of modular transform operations that integrate with data processing pipelines via the map method, supporting image, text, and audio preprocessing alongside custom user-d...
MindSpore is a full-scenario deep learning framework designed to achieve easy development, efficient execution, and unified deployment across diverse environments. Framework Architecture Overview ModelZoo: A repository of pre-built deep learning models and algorithms. MindSpore Extend: Domain-specif...