python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
深層学習:Deep Learning
python python About MobileNet
Overview of MobileNet
MobileNet is one of the most widely used deep learning models in computer vision, and i...
python Overview of C51 (Categorical DQN), its algorithm and example implementations
Overview of C51 (Categorical DQN)
C51, or Categorical DQN, is a deep reinforcement learning algorithm that ...
python About LeNet-5
Overview of LeNet-5
LeNet-5 (LeNet-5) is one of the most important historical neural network models in the fi...
python EfficientNet
Overview of EfficientNet
EfficientNet is one of the lightweight and efficient deep learning models and convol...
python Overview of A2C (Advantage Actor-Critic) and examples of algorithms and implementations
Overview of A2C（Advantage Actor-Critic）
A2C (Advantage Actor-Critic) is an algorithm for reinforcement lear...
python Overview of Contrastive Predictive Coding (CPC) and examples of algorithms and implementations
Contrastive Predictive Coding (CPC) Overview
Contrastive Predictive Coding (CPC) is a representation learnin...
python Overview of self-learning approaches to language processing and examples of algorithms and implementations
Overview of Self-Learning Approaches to Language Processing
Self-Supervised Learning, a branch of machine ...
python About AlexNet
AlexNet
AlexNet, a deep learning model proposed in 2012, is a breakthrough in computer vision tasks. Convolut...
python About VGGNet
VGGNet（Visual Geometry Group Network）
VGGNet (Visual Geometry Group Network) is a convolutional neural networ...