过滤器
Case Study – Using the Intel® Deep Learning SDK for Training Image Recognition Models
In this case study, we explore LeNet*,one of the prominent image recognition topologies for handwritten digit recognition, and show how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.Get Started with the Intel® Deep Learning SDK
This video shows the Intel® Deep Learning SDK.
