Deeplearn.js is a deep learning library that runs models in the browser using WebGL acceleration. It represents models as computation graphs of nodes and tensors. Kernels are implemented to run operations on GPUs or CPUs. The library can import models from TensorFlow and allows both training and inference. Future work includes directly importing TensorFlow models and improving demos.
GOCON Autumn (Story of our own Monitoring Agent in golang)Huy Do
This document discusses building a monitoring agent in Go and describes key components and design considerations. It proposes:
1. A modular agent architecture with pluggable inputs, codecs, and outputs to collect host metrics.
2. A push-based collection model where inputs directly retrieve metrics to reduce middleware impact.
3. A buffer to prevent data loss during output failures by maintaining write offsets.
4. Exposing agent state via HTTP for monitoring health, performance, and preventing issues like resend storms.
The agent is intended to be scalable, reliable, and manageable for deploying monitoring at scale. Go is chosen for its portability and quick prototyping abilities.
Deeplearn.js is a deep learning library that runs models in the browser using WebGL acceleration. It represents models as computation graphs of nodes and tensors. Kernels are implemented to run operations on GPUs or CPUs. The library can import models from TensorFlow and allows both training and inference. Future work includes directly importing TensorFlow models and improving demos.
GOCON Autumn (Story of our own Monitoring Agent in golang)Huy Do
This document discusses building a monitoring agent in Go and describes key components and design considerations. It proposes:
1. A modular agent architecture with pluggable inputs, codecs, and outputs to collect host metrics.
2. A push-based collection model where inputs directly retrieve metrics to reduce middleware impact.
3. A buffer to prevent data loss during output failures by maintaining write offsets.
4. Exposing agent state via HTTP for monitoring health, performance, and preventing issues like resend storms.
The agent is intended to be scalable, reliable, and manageable for deploying monitoring at scale. Go is chosen for its portability and quick prototyping abilities.
The document discusses the mbed development platform and ecosystem. It mentions that mbed supports ARM microcontrollers and provides APIs for networking, storage, USB, and more. The document also briefly introduces the Neo gaming platform and notes that information about upcoming products like the Wii is coming soon.
Facebook is a social networking website where users can connect with friends and family, share photos and updates, and discover content and groups related to their interests. The site allows users to build a profile and connect their profile with others to view their friends' profiles and activities. Users can also join common-interest user groups, receive friend requests, and exchange private messages.