Deep Learning create by Arwin Yu Tutorial 05 – Transformers – Attention Mechanism Agenda 注意力机制（The Attention Mechanism） 自我注意力机制 多头注意力机制 交叉注意力机制 […]
Self-Attention Mechanisms and Transformer Algorithms Read More »
Deep Learning create by Arwin Yu Tutorial 04 – Encoder-Deconder Agenda 自编码器（Auto-encoder） 潜空间 极大似然估计 隐变量模型 蒙特卡洛采样 变分自编码器 序列到序列模型（Seq2Seq） Seq2Seq 模型结构
Encoder-Decoder Architectures Read More »
Deep Learning create by Arwin Yu Tutorial 03 – Recurrent Neural Networks – Sequential Tasks Agenda 自然语言处理和序列数据(Natural Language Processing and
Recurrent Neural Networks (RNN) Read More »
Deep Learning create by Arwin Yu Tutorial 02 – Convolutional Neural Networks & Visual Tasks Agenda 2D卷积（2D Convolution） 基于卷积的特征提取（Convlution as
Convolutional Neural Networks (CNN) Read More »
Deep Learning create by Arwin Yu Tutorial 01 – Neural Networks Agenda Perceptron Model Multi-Layer Perceptron Forward Calculation Backpropagation Neural-Network-Based
Neural Networks (NN) Read More »