yeyun111/dlcv_for_beginners
Python code examples accompanying a Chinese book on deep learning and computer vision for beginners.
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This repository contains the supporting code for a Chinese textbook titled “Deep Learning and Computer Vision.” It provides example implementations covering topics like image classification, object detection, semantic segmentation with U-Net, generative adversarial networks, Siamese networks, and model fusion. The code supports multiple frameworks including Caffe, MXNet, and PyTorch, and is intended as learning material for readers of the book.
Frequently asked
- What is yeyun111/dlcv_for_beginners?
- Python code examples accompanying a Chinese book on deep learning and computer vision for beginners.
- Is dlcv_for_beginners open source?
- Yes — yeyun111/dlcv_for_beginners is open source, released under the BSD-3-Clause license.
- What language is dlcv_for_beginners written in?
- yeyun111/dlcv_for_beginners is primarily written in Python.
- How popular is dlcv_for_beginners?
- yeyun111/dlcv_for_beginners has 1.5k stars on GitHub.
- Where can I find dlcv_for_beginners?
- yeyun111/dlcv_for_beginners is on GitHub at https://github.com/yeyun111/dlcv_for_beginners.