2 个仓库
Awesome GitHub RepositoriesVisual Pattern Recognition
Techniques for recognizing and classifying visual patterns using convolutional neural networks and image augmentation.
Distinct from Computer Vision and Image Processing: Focuses on the recognition and classification capability rather than the general tooling of computer vision.
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Awesome Visual Pattern Recognition GitHub Repositories
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- nyandwi/machine_learning_complete
Nyandwi/machine_learning_complete
4,983在 GitHub 上查看This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi
Implements convolutional neural networks and image augmentation to recognize and classify visual patterns.
Jupyter Notebookcomputer-visiondata-analysisdata-science - hzy46/deep-learning-21-examples
hzy46/Deep-Learning-21-Examples
4,675在 GitHub 上查看该项目是一个深度学习教育资源和神经网络项目套件。它提供了一系列 TensorFlow 实践实现和编码项目，旨在演示各种神经网络架构在真实数据上的应用。 该项目包含生成对抗网络（GAN）的具体示例，专注于合成图像生成和风格迁移。它还提供了跨不同学习范式的深度学习模型构建示例。 代码库涵盖了广泛的能力，包括用于图像模式识别的计算机视觉、自然语言处理，以及用于时间序列预测的数据分析。它还进一步包含了用于训练自主智能体的强化学习和循环序列处理的使用。
Provides capabilities for classifying visual data into categories using neural networks trained on labeled images.
Python
