#PyTorch image classification
27 related articles
·4 min
Deep Learning Lane Detection: From Segmentation to Classification for 300+ FPS Real-Time Inference
Deep learning lane detection algorithm that simplifies dense segmentation into efficient grid classification, achieving 300+ FPS real-time inference with row selection, Focal Loss, and expectation-based localization.
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·4 min
Neural Networks from Scratch: A Deep Dive into the Fundamentals from Linear Regression to Gradient Descent
From linear regression and logistic regression to gradient descent, this guide derives the core mechanisms of neural networks step by step, covering Sigmoid, cross-entropy, activation functions, and backpropagation.
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·3 min
The Complete Guide to DeepSeek TUI: Installation, Configuration, and Hands-On Use of a Terminal AI Coding Agent
A deep dive into DeepSeek TUI: the terminal AI coding agent with chain-of-thought visualization, million-token context, and multi-task parallelism. Covers installation, configuration, and real-world use cases.
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Tutorials·4 min
Machine Learning for Absolute Beginners: A Complete Learning Path from Overview to Practice
A beginner-friendly machine learning tutorial covering AI overview, NumPy, Pandas, Matplotlib, and hands-on cases. Master ML fundamentals in three days through five systematic modules.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials·3 min
PyTorch Beginner Tutorial: A Complete Guide to Tensor Operations and Neural Network Construction
A detailed PyTorch beginner guide covering tensor operations, dynamic computational graphs, GPU acceleration, and building your first neural network with nn.Module, with learning path recommendations and code examples.
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