Several frameworks and tools have emerged to facilitate the deployment of deep learning algorithms on embedded platforms. TensorFlow Lite, PyTorch Mobile, Caffe2, OpenVINO, and ARM CMSIS-NN library are among the popular choices, providing optimized libraries and runtime environments for...
Smart design.This accelerator can have up to 16 AI cores, which achieve up to 400 TOPS of INT8 inference. The chip's memory subsystem has four 64-bit LPDDR4X memory controllers that run at 2100MHz, balanced with a massive 144MB of on-chip SRAMcache. Power efficiency.Cloud AI 100 is h...
There are various deep learning platforms like Torch7, Caffe, Theano, TensorFlow, Keras, Microsoft Cognitive Toolkit, etc. existed then you might wonder why Apache MXNet? Let's check out some of the reasons behind it: Apache MXNet solves one of the biggest issues of existing deep ...