Haobin Tan
Haobin Tan
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AI
Overveiw
NN Basics
Perceptron
👍 Activation Functions
👍 Loss Functions
MLP and Backprop
Math: Softmax
Generalization
Generalization: Dropout
👍 Generalization: Data Augmentation
Efficient Training
Optimizers
👍 Batch Normalization
Unsupervised Learning
Auto Encoder
Hopfield Nets
Bolzmann Machine
Restricted Boltzmann Machines
CNN
TDNN
👍 CNN Basics
👍 CNN Intuition and Visualization
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Computer Vision
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Parallelism
Parallelism and Vectorization
RNN
Recurrent Neural Networks
LSTM
👍 RNN Summary
👍 LSTM Summary
BPTT
RNN Implementation
RNN Resource
Encoder-Decoder
Seq2Seq
👍 Attention
👍 Transformer
Contents
Encoder-Decoder Models
Deep Learning
Seq2Seq
encoder-decoder
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