deeplearn.js is an open source hardware-accelerated JavaScript library for machine intelligence. deeplearn.js brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode. We provide an API that closel...
deeplearn.js is an open source hardware-accelerated JavaScript library for machine intelligence. deeplearn.js brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode. We provide two APIs, an imme...
Landing Zone Identification Using a Hardware-accelerated Deep Learning ModuleThis work develops a deep learning-based autonomous Landing Zone (LZ) identification module for a Vertical Take-Off and Landing (VTOL) drone using colored Light Detection and Ranging (LiDAR) point cloud data. "ConvPoint", ...
The utilization of gradient descent, which is a widely used training technique that accumulates the gradients of the loss function with respect to all the weight variables, has considerably accelerated the development of deep learning-based methods [16]. In networks employing the gradient descent ...
The Accelerated Resize Function Used You can use this generated IP similar to other IPs in Vivado. In the image below, it's the orange block. Inputs and outputs are interfaced with the ARM controllers via the AXI interface. Install on Pynq ...
GPU-accelerated Monte Carlo convolution/superposition implementation for dose calculation Dose calculation is a key component in radiation treatment planning systems. Its performance and accuracy are crucial to the quality of treatment plans as ... Z Bo,CX Yu,DZ Chen,... - 《Medical Physics》 被...
If you train your latest deep learning algorithms on cutting-edge NVIDIA GPUs on Ubuntu, why would you settle for anything other than the same thought leadership for your networking, security, and storage needs? What’s new with the BlueField-2 DPU? And what’s next?
Deep Bayesian active learning (DBAL) boosts labeling efficiency exponentially, substantially reducing costs. However, DBAL demands high-bandwidth data transfer and probabilistic computing, posing great challenges for conventional deterministic hardware. Here we propose a memristor stochastic gradient Langevin ...
deeplearn.js is an open source hardware-accelerated JavaScript library for machine intelligence. deeplearn.js brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode. We provide two APIs, an imme...
deeplearn.jsis an open source hardware-accelerated JavaScript library for machine intelligence.deeplearn.jsbrings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode. ...