A Practical Guide to Qdrant for RAG Applications
Published:
A practical overview of A Practical Guide to Qdrant for RAG Applications, covering A Practical Guide to Qdrant for RAG Applications, Why a vector database is needed in RAG…
Posts by Category
ai-engineering
cv
Fully Convolutional Networks
Published:
A summary of FCN (Fully Convolutional Networks) Fully Convolutional Networks for Semantic Segmentation GitHub 传统的卷积神经网络（CNN）通常包含卷积层和全连接层。在这篇论文中，作者认识到全连接层会导致输出固定大小的特征向量，从而限制了CNN在…
Convolutional Neural Networks
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什么是卷积神经网络（CNN）？它在计算机视觉中的应用是什么？ 卷积神经网络（Convolutional Neural Network，CNN）是一种深度学习模型，特别适用于处理具有网格结构的数据，如图像和视频。 CNN的核心思想是通过卷积操作和池化操作来提取输入数据的特征，并通过这些特征进行分类、识别或回归等任务。 基本原理 ref
Donut: an OCR-free Document Understanding Transformer
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A practical overview of Donut: an OCR-free Document Understanding Transformer, covering Encoder, Decoder, Output Conversion.
Object Detection Algorithms
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A practical overview of Object Detection Algorithms, covering Important notes, Loss Function, R-CNN.
ml
Boruta Feature Selection
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A practical overview of Boruta Feature Selection, covering Purpose, How It Works, Advantages.
Clustering alrogithms
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A practical overview of Clustering alrogithms, covering Improvements for gradient descent, Momentum (惯性保持), AdaGrad (环境感知).
Activation Functions
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A practical overview of Activation Functions, covering Sigmoid Family, Hard Sigmoid, Swish.
Loss Functions
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A practical overview of Loss Functions, covering Regression Loss Functions, L1 Loss (Mean Absolute Error, MSE), L2 Loss (Mean Square Error, MSE).
Classification Algorithms
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A practical overview of Classification Algorithms, covering Assumption, Logistic Regression, Description.
Time-series Forecasting
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A practical overview of Time-series Forecasting, covering ARIMA (Autoregressive Integrated Moving Average), Description, Strengths.
Metrics to Evaluate Predictive Models
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A practical overview of Metrics to Evaluate Predictive Models, covering MAE (Mean Absolute Error), Definition, Formula.
personal
Happy 31th birthday
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今天不谈机器学习，不再整理一些记不住的知识，而是在三十又一的当下，记录一下最近的思考。 为什么最近会有时间做这么多思考呢？因为我在今年1月，农历新年前不到1个月的时候，试用期还有1周就转正的时候，突然被通知不转正了。 到现在应该失业正好差不多两个月，中间农历新年期间完全是一个招聘停滞的状态。然后在我31岁生日之前至少有一个比较过得去的口头offer，也…
python
Python try / except / else / finally learning notes
Published:
A practical overview of Python try / except / else / finally learning notes, covering 核心概念, 基本结构, except 优先捕捉能处理的特定异常类型.
rag
A Practical Guide to Qdrant for RAG Applications
Published:
A practical overview of A Practical Guide to Qdrant for RAG Applications, covering A Practical Guide to Qdrant for RAG Applications, Why a vector database is needed in RAG…
LLM/RAG Learning notes
Published:
A practical overview of LLM/RAG Learning notes, covering 主要内容, LangChain主线总结报告.
stats
Kernel Density Estimation
Published:
A practical overview of Kernel Density Estimation, covering Kernel Density Estimation, Nonparametric Estimation, The univariate case (1 variable).