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Quantization for Neural Networks

 05-17-2020 02-09-2023 article an hour read (About 6957 words)
Mathematical Foundations to Neural Network Quantization

 
Machine Learning, 
Deep Learning, 
Mathematics, 
Neural Network, 
Quantization, 
Matrix Multiplication  
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PyTorch Distributed Training

 04-26-2020 02-06-2022 blog 14 minutes read (About 2112 words)
PyTorch Distributed Training for Dummies

 
Deep Learning, 
PyTorch, 
Distributed Computing  
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Gated Linear Units (GLU) and Gated CNN

 03-09-2020 03-09-2020 blog 6 minutes read (About 827 words)
Gated Linear Units and Gated CNN Explained

 
Machine Learning, 
Deep Learning, 
Natural Language Processing  
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Evolved Transformer Explained

 03-07-2020 03-07-2020 blog 5 minutes read (About 777 words)
Evolution Search on Transformer Neural Network Architectures

 
Machine Learning, 
Deep Learning, 
Natural Language Processing, 
Transformer, 
Neural Architecture Search, 
Evolution Algorithm  
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Save, Load and Inference From TensorFlow 2.x Frozen Graph

 01-09-2020 01-09-2020 blog 6 minutes read (About 826 words)
Continuing to Support Frozen Graph for TensorFlow 2.x

 
Machine Learning, 
Deep Learning, 
TensorFlow  
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TensorFlow Inference for Estimator

 08-29-2019 08-29-2019 blog 9 minutes read (About 1392 words)
Guidance for Fast TensorFlow Inference

 
Deep Learning, 
TensorFlow  
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PyTorch Model Export to ONNX Failed Due to ATen

 07-03-2019 07-03-2019 blog 10 minutes read (About 1445 words)
A Funny Story About PyTorch, ATen, and ONNX

 
Deep Learning, 
Software Engineering, 
PyTorch, 
ATen, 
ONNX  
  Read More

Dropout Explained

 06-04-2019 06-04-2019 blog 8 minutes read (About 1155 words)
The Math of Dropout You Know and Don't Know

 
Machine Learning, 
Deep Learning  
  Read More

Transformer Explained In One Single Page

 06-01-2019 02-09-2023 blog 23 minutes read (About 3454 words)
Attention is All You Need Mathematically

 
Deep Learning, 
Natural Language Processing, 
Transformer, 
Machine Translation  
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Layer Normalization Explained

 05-31-2019 12-24-2024 blog 5 minutes read (About 707 words)
Layer Normalization vs Batch Normalization vs Instance Normalization

 
Deep Learning  
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Data Parallelism VS Model Parallelism In Distributed Deep Learning Training

 05-23-2019 05-23-2019 blog 7 minutes read (About 1067 words)
Some Simple Logic and Theory Behind

 
Deep Learning, 
Distributed System  
  Read More

YOLO v2 Reorg Layer Explained

 04-24-2019 04-24-2019 blog 18 minutes read (About 2716 words)
The Most Detailed Explanation on Reorg Layer

 
Deep Learning, 
Computer Vision  
  Read More
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Lei Mao

Lei Mao

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