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Unbiased Estimates in Policy Gradient

 03-15-2019 03-15-2019 blog 6 minutes read (About 944 words)
Some Refreshes on Probability and Calculus

 
Reinforcement Learning  
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On-Policy VS Off-Policy In Reinforcement Learning

 03-14-2019 03-14-2019 blog 4 minutes read (About 555 words)
A Reinforcement Learning Basic Concept Memo

 
Artificial Intelligence, 
Reinforcement Learning  
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CUDA Block and Grid

 03-12-2019 03-12-2019 blog 4 minutes read (About 590 words)
Understand the Concept of Block and Grid in CUDA Parallel Computing

 
CUDA  
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Solve Text Editor Sublime 3 Scroll Lag Problem

 03-10-2019 03-10-2019 blog 3 minutes read (About 436 words)
Configure the Best of Your Favorite Text Editor

 
Sublime  
  Read More

Save, Load and Inference From TensorFlow Frozen Graph

 03-07-2019 08-03-2020 blog 14 minutes read (About 2065 words)
Filling a Missing Part in TensorFlow Inference

 
TensorFlow  
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Use Focal Loss To Train Model Using Imbalanced Dataset

 03-04-2019 06-30-2019 blog 12 minutes read (About 1859 words)
Understand the Advantages of Focal Loss in Object Detection

 
Computer Vision, 
Object Detection  
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Ubuntu 18.04 LTS No Sound Fix

 02-24-2019 02-24-2019 blog 6 minutes read (About 952 words)
A 24-Hour Debug Experience

 
Ubuntu, 
Linux  
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Simple GitHub Backup Tutorial

 01-27-2019 01-27-2019 blog 2 minutes read (About 313 words)
Clone All Your Repositories to Local Computer

 
GitHub  
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Batch Normalization Explained

 09-07-2018 05-31-2019 blog 6 minutes read (About 961 words)
Fill More Holes in Deep Learning

 
Deep Learning  
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Guide to TensorFlow Dataset API

 08-11-2018 08-11-2018 blog 17 minutes read (About 2481 words)
Harness TensorFlow Dataset API for Real Applications

 
TensorFlow  
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Image Pyramids and Its Applications in Deep Learning

 08-04-2018 08-04-2018 blog 8 minutes read (About 1137 words)
Traditional Computer Vision Techniques Boosted Deep Learning

 
Deep Learning, 
Computer Vision  
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Maximum Likelihood Estimation of N-Gram Model Parameters

 06-09-2018 04-30-2025 blog 9 minutes read (About 1417 words)
Mathematical Proof of the Maximum Likelihood Estimation of N-Gram Model Parameters

 
Probability, 
Natural Language Processing  
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Lei Mao

Lei Mao

Artificial Intelligence Machine Learning Computer Science

Santa Clara, California

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