Vision2022

Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club

浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程

Image basics: Pixels, Colors, Image formats
Image processing techniques: Filtering, Binarization, cutting, Morphological transformation, Scale and rotation transformation, Image gradient
Image pattern recognition: Line and circle detection, Feature point detection, Edge detection
Image pattern recognition: Blob detection, Feature point detection, Template matching
Neural Network basics: Neuron structure, Multi-layer Perceptron, Handwritten digit recognition, Loss function
Neural Network basics: Gradient Descent, Backpropagation
Modern Neural Network: Softmax regression, Deep neural network, Convolutional Neural Network, Server Resources
Modern Neural Network: Recurrent Neural Networks, Attention Mechanism & Transformer, Natural Language Processing, Reinforcement Learning, Generative Adversarial Networks
Final project and Q&A: Chess board recognition system

Zhang, A., Lipton, Z., Li, M., & Smola, A. (2021). Dive into Deep Learning. arXiv preprint arXiv:2106.11342.

Name		Name	Last commit message	Last commit date
Latest commit History 214 Commits
0-introduction		0-introduction
4-pattern-recognition		4-pattern-recognition
8-7-reinforcement-learning		8-7-reinforcement-learning
8-8-generative-adversarial-networks		8-8-generative-adversarial-networks
9-final-project		9-final-project
images		images
pdf_files		pdf_files
.gitignore		.gitignore
0-introduction.ipynb		0-introduction.ipynb
1-opencv-image-basics.ipynb		1-opencv-image-basics.ipynb
2-1-basic-image-process.ipynb		2-1-basic-image-process.ipynb
2-2-basic-image-process.ipynb		2-2-basic-image-process.ipynb
3-1-advanced-image-process.ipynb		3-1-advanced-image-process.ipynb
3-2-advanced-image-process.ipynb		3-2-advanced-image-process.ipynb
3-3-advanced-image-process.ipynb		3-3-advanced-image-process.ipynb
4-pattern-recognition.ipynb		4-pattern-recognition.ipynb
5-nerual-network.ipynb		5-nerual-network.ipynb
6-convolutional-neural-network.ipynb		6-convolutional-neural-network.ipynb
8-1-modern-cnn.ipynb		8-1-modern-cnn.ipynb
8-2-recurrent-neural-networks.ipynb		8-2-recurrent-neural-networks.ipynb
8-3-modern-rnn.ipynb		8-3-modern-rnn.ipynb
8-4-attention-mechanism-and-transformers.ipynb		8-4-attention-mechanism-and-transformers.ipynb
8-5-computer-vision.ipynb		8-5-computer-vision.ipynb
8-6-natural-language-processing.ipynb		8-6-natural-language-processing.ipynb
8-7-reinforcement-learning.ipynb		8-7-reinforcement-learning.ipynb
8-8-generative-adversarial-networks.ipynb		8-8-generative-adversarial-networks.ipynb
README.md		README.md

Provide feedback