nn.Module: Network Construction
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
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Argparse
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
History of Deepfake Media Detection
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
TensorFlow Implementation of DQN for Atari Games
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
Some TFlearn
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,
Environment Error in OpenAI gym[atari] with Pycharm
EnvironmentWin64 + Pycharm + Python 3.7 + OpenAI gym Error1. Install problemWhen I run OpenAI Atari in Pycharm, I first install Atari as below: pip install 'gym[atari]'but get an error like: Invalid requirement: