BackgroundTo 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
To use argparse module, we should only know a few functions. 1.Creating a parserparser = argparse.ArgumentParser(description='Head pose estimation using the Hopenet network.')1.1.Function Detailsdescription: Text to display
AbstractIn 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
GitLab has introduced CI/CD services since version 8.0. It could manage automation for building, testing, deploying and releasing projects.
IntroductionConfigurationwin64+Python 3.7+Pycharm+OpenAI gym Prior knowledgeIn paper PlayingAtariwithDeepReinforcementLearning, the author illuminates why he introduces deep learning into reinforcement learning (RL). The author wants to find a general solution to quite
IntroductionIn this post, I'd like to record my experience of studying TFlearn. IngredientTo build a functional network, we should know how a convolutional layer is created and initialized. For layers in convolutional network,