Before this note Recently I have build a in house tower server for self use, development, experiment of things. I could try Kubernetes labs or Public OpenShift infrastructure but the cost of a machine satisfy a geek is huge. And deploy a cluster in bare-metal is something interesting also. The
Background To define our network, we should succeed class nn.Module and implement the function forward. We put all the layers we want in the function __init__() and define how layers connect in function forward. Example class Hopenet(nn.Module): # Hopenet with 3 output layers for yaw, pitch and roll
To use argparse module, we should only know a few functions. 1.Creating a parser parser = argparse.ArgumentParser(description='Head pose estimation using the Hopenet network.') 1.1.Function Details * description: Text to display before the argument help (default: none) By function: parser.print_help() we can get: usage:
Abstract In 2017, Reddit user "deepfakes" posted several porn videos on the Internet which were not real, having been created with artificial intelligence. Deepfake is a portmanteau of "deep learning" and "fake", and a deep learning technique known as the generative adversarial network (GAN) is used to manipulate fake media
GitLab has introduced CI/CD services since version 8.0. It could manage automation for building, testing, deploying and releasing projects.