Category：AI
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Introduction to LDA Topic Modeling and Python Implementation
I. Introduction to the LDA Theme Model The LDA topic model is mainly used to infer the topic distribution of documents, which can give the topic of each document in the document set in the form of a probability distribution according to the topic for topic clustering or text classification. The LDA topic model does […]
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Anchor based and Anchor free
Difference between anchor-free and anchor-based Anchor-free and anchor-based are two different target detection methods, the difference being whether or not a predefined anchor box is used to match a real target box. Anchor-based methods use anchor boxes of different sizes and shapes to regress and categorize targets, such as faster rcnn, retinanet, and yolo, etc. […]
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Example of constructing a neural network
Article Catalog neural network1. Import of relevant libraries2. Defining a layer3. Construction of data sets4. Defining the basic model5. Variable initialization6. Commencement of training P.S. Series of articles neural network A neural network is a bionic machine learning algorithm inspired by the nervous system of the human brain. It consists of multiple neurons (or nodes) […]
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Logistic regression done with TensorFlow
Article Catalog Logistic regression done with TensorFlow1. Environmental settings2. Data reading3. Prepare the placeholder4. Prepare parameters/weights5. Compute the loss function of multiclassified softmax6. Prepare the optimizer7. Perform the operations defined in the graph in the session. P.S. Series of articles Logistic regression done with TensorFlow TensorFlow is an open source machine learning framework developed by […]