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Depthwise Separable Convolution

 11-08-2021 11-08-2021 blog 7 minutes read (About 1018 words)
Reducing Memory and Math Bandwidth Requirements for Convolution

 
Deep Learning, 
Mathematics  
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Multi-Thread Single-Stream VS Single-Thread Multi-Stream CUDA

 10-18-2021 05-12-2022 blog 13 minutes read (About 1946 words)
CUDA Programming Choices for CUDA Stream

 
Deep Learning, 
Mathematics, 
CUDA, 
High Performance Computing, 
Computer Architecture, 
Parallel Computing  
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Math-Bound VS Memory-Bound Operations

 10-11-2021 09-18-2023 blog 8 minutes read (About 1188 words)
Computation Bandwidth, Memory Bandwidth, and Data Reuse

 
Deep Learning, 
Mathematics, 
Computer Architecture  
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Fast Fourier Transform for Convolution

 10-04-2021 09-20-2022 blog 9 minutes read (About 1346 words)
Understand Asymptotically Faster Convolution Using Fast Fourier Transform

 
Deep Learning, 
Mathematics  
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Cross-Correlation VS Convolution

 09-27-2021 09-27-2021 blog 6 minutes read (About 903 words)
A Historical Ambiguity in Deep Learning

 
Deep Learning, 
Mathematics  
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Creating and Modifying ONNX Model Using ONNX Python API

 09-15-2021 09-15-2021 blog 12 minutes read (About 1866 words)
Getting Familiar with ONNX Data Structure and Python API Usages

 
Deep Learning, 
ONNX  
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Convolution and Transposed Convolution as Matrix Multiplication

 09-08-2021 09-08-2021 blog 10 minutes read (About 1514 words)
Understand Convolution and Transposed Convolution from a Different View

 
Deep Learning  
  Read More

ResNet CIFAR Classification Using LibTorch C++ API

 07-01-2021 07-01-2021 blog 6 minutes read (About 837 words)
User Experience on LibTorch C++ API

 
Machine Learning, 
CPP, 
Deep Learning, 
PyTorch, 
LibTorch  
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Neural Network 1 x 1 Convolution Horizontal Fusion

 05-20-2021 05-20-2021 blog 6 minutes read (About 945 words)
Mathematical Foundations for $1 \times 1$ Convolution Horizontal Fusion

 
Deep Learning  
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Neural Network Batch Normalization Fusion

 05-10-2021 08-14-2022 blog 14 minutes read (About 2050 words)
Mathematical Foundations for Batch Normalization Fusion

 
Deep Learning  
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Non-Autoregressive Model and Non-Autoregressive Decoding for Sequence to Sequence Tasks

 04-27-2021 04-27-2021 blog 19 minutes read (About 2780 words)
Enable Parallelized Non-Autoregressive Decoding Process for Sequence to Sequence Tasks

 
Machine Learning, 
Deep Learning  
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Autoregressive Model and Autoregressive Decoding for Sequence to Sequence Tasks

 04-26-2021 04-26-2021 blog 17 minutes read (About 2523 words)
Understand Autoregressive Models for Sequence to Sequence Tasks

 
Machine Learning, 
Deep Learning  
  Read More
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Lei Mao

Lei Mao

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Menlo Park, California

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