Understanding Deep Learning is a book that delves into the principles and applications of deep learning. It provides a wealth of mathematical background knowledge, supervised learning, the construction and training of neural networks, and comprehensive content in the field of deep learning. The Python notebooks provided in the book help readers deepen their understanding through practice. In addition, there are resources for teachers, including images, slides, and teaching materials.

This project is a comprehensive guide to using open-source large models, covering environment setup, model deployment, and efficient fine-tuning. It simplifies the use and application of open-source large models, enabling more ordinary learners to access and utilize them. The project is targeted towards learners interested in open-source large models and who want to get hands-on experience. It provides detailed instructions on environment configuration, model deployment, and fine-tuning methods.

ML-YouTube-Courses is an open-source project committed to organizing and indexing the latest and best machine learning courses on YouTube. The project includes a variety of courses covering subjects such as machine learning, deep learning, natural language processing, computer vision, and more, spanning fundamental knowledge and cutting-edge technologies. This project helps developers and learners efficiently discover high-quality online tutorials.

Understanding Deep Learning is a book that delves into the principles and applications of deep learning. It provides a wealth of mathematical background knowledge, supervised learning, the construction and training of neural networks, and comprehensive content in the field of deep learning. The Python notebooks provided in the book help readers deepen their understanding through practice. In addition, there are resources for teachers, including images, slides, and teaching materials.

Dashworks is an AI knowledge assistant designed to provide you with safe and accurate answers. It uses generative AI to retrieve accurate, source-backed answers and has enterprise-grade knowledge discovery capabilities. Dashworks can integrate with your company's applications, websites, and documents to create a unified knowledge base. It employs advanced privacy design, relying on no data indexing, to maximize privacy protection and comply with regulations such as SOC 2 Type II, HIPAA, and GDPR. Dashworks also boasts quick deployment, requiring just a few clicks to provide your team with instant search capabilities. You can use Dashworks on Slack, the web, or as a browser extension. Dashworks adopts a transparent and flexible pricing strategy, tailored based on team size and success.

This project is a comprehensive guide to using open-source large models, covering environment setup, model deployment, and efficient fine-tuning. It simplifies the use and application of open-source large models, enabling more ordinary learners to access and utilize them. The project is targeted towards learners interested in open-source large models and who want to get hands-on experience. It provides detailed instructions on environment configuration, model deployment, and fine-tuning methods.

ML-YouTube-Courses is an open-source project committed to organizing and indexing the latest and best machine learning courses on YouTube. The project includes a variety of courses covering subjects such as machine learning, deep learning, natural language processing, computer vision, and more, spanning fundamental knowledge and cutting-edge technologies. This project helps developers and learners efficiently discover high-quality online tutorials.