Understanding Deep Learning
Deeply understand the principles and applications of deep learning
Product Details
"Understanding Deep Learning" is a book that deeply explores the principles and applications of deep learning. It provides comprehensive content in the field of deep learning such as rich mathematical background knowledge, supervised learning, and the construction and training of neural networks. The Python notebook exercises provided in the book help readers deepen their understanding through practice. In addition, there are resources for teachers including images, slides and teaching aids.
Main Features
How to Use
Target Users
Understanding Deep Learning is suitable for researchers, students, and practitioners in the field of deep learning. Whether you are a beginner or an experienced professional, you can get in-depth understanding and practical guidance of deep learning.
Examples
Researchers use the mathematical models in the book to build new neural network architectures.
Students complete assignments in deep learning courses through notebook exercises.
Data scientists use the algorithms in this book to optimize their machine learning projects.
Quick Access
Visit Website →Categories
Related Recommendations
Discover more similar quality AI tools
ml-retreat
ml-retreat is a personal study note library for advanced learning of artificial intelligence. It contains an in-depth understanding of the fundamentals of machine learning, as well as must-read/must-see resources on more nuanced topics. The goal of this project is to study the 30 must-read research papers recommended by Ilya Sutskever, Distilled AI's blog, multiple AI/ML video playlists, and to deeply understand/implement Transformers, LLMs, and related topics.
NVIDIA DLI Teaching Kits
NVIDIA DLI Teaching Kits are a set of teaching resources provided by the NVIDIA Deep Learning Institute (DLI) designed to help university educators integrate GPU technology into their courses. Developed in conjunction with leading university faculty, these teaching kits offer complete course designs and easy-to-use resources that enable educators to combine academic theory with real-world applications and develop critical computing skills for the next generation of innovators. Most teaching packages are now also available as ready-made Canvas LMS courses.
Anthropic's Prompt Engineering Interactive Tutorial
Anthropic's interactive tutorials are designed to provide comprehensive step-by-step guidance on how to build optimal prompts within Claude. The tutorial consists of 9 chapters, each with exercises, and an appendix containing more advanced methods. The tutorial uses Anthropic's smallest, fastest, and cheapest model, the Claude 3 Haiku, as well as the smarter Claude 3 Sonnet and Claude 3 Opus models. The tutorial also exists on Google Sheets using Anthropic's Claude for Sheets extension, which version is recommended as it is more user-friendly.
Transformer Explainer
Transformer Explainer is an online visualization tool dedicated to helping users deeply understand the Transformer model. It graphically displays various components of the Transformer model, including self-attention mechanism, feed-forward network, etc., allowing users to intuitively see the flow and processing of data in the model. This tool is of great significance to the fields of education and research, helping students and researchers better understand advanced techniques in the field of natural language processing.
Llama Tutor
Llama Tutor is a personalized AI teaching assistant based on Llama 3.1 and Together AI, designed to provide users with a customized learning experience. It is completely open source, and users can find relevant code on GitHub and make personalized adjustments. This product generates personalized learning plans based on user-input learning topics and education levels, helping users master knowledge more efficiently.
UnderstandingDeepLearning-ZH-CN
"Deep Learning" is a classic textbook in the field of deep learning written by Simon J.D. Prince, published by MIT Press on December 5, 2023. This book covers many key concepts in the field of deep learning and is suitable for both beginners and experienced developers. This warehouse provides the Chinese translation of the book. The translation is based on the latest version of the original book. ChatGPT is used for machine translation and manual review to ensure the accuracy of the translation.
GenAI Handbook
The GenAI Handbook is a handbook designed to provide guidance on learning the key concepts of modern artificial intelligence systems. It was written by William Brown with the aim of collating high-quality explanatory resources dispersed across the Internet into a textbook-style presentation that serves as a roadmap to achieving one's personal AI-related learning goals. This handbook is intended for people with a technical background who want to learn about the latest innovations in artificial intelligence, whether out of curiosity or for potential career advancement.
Mo
Mo is an AI technology learning APP that combines surrealist art and the idealistic spirit of Don Quixote. It uses diverse content such as graphics, text, animation, video, and voice in the form of cards to make the learning of AI and technological knowledge lively and interesting. Mo not only covers the basic knowledge of AI, but also includes cutting-edge technologies such as the metaverse, big data, and large models. It is suitable for learners of all backgrounds and aims to create a personalized learning experience.
Illuminate
Illuminate is an innovative educational tool launched by Google. It uses artificial intelligence technology to transform complex academic papers into easy-to-understand audio discussions, helping users learn and understand academic content in a more intuitive and interactive way. This product improves learning efficiency by simplifying the learning process and is especially suitable for fast-paced and diverse learning needs.
SmartLifeSkills
Smart Skills Passport is an educational product that leverages the revolutionary power of artificial intelligence to provide a dynamic, interactive and adaptive learning experience. It helps users unleash their potential, expand their knowledge, and change their lives. Smart Skills Passport goes beyond traditional education paths and is designed to take learners into a realm of possibilities.
Hugging Face Course
Hugging Face Course is an educational resource officially provided by Hugging Face, designed to help users learn and master the various tools and APIs of the Hugging Face platform.
KarpathyLLMChallenge
KarpathyLLMChallenge is an educational website focused on explaining and demonstrating the importance and complexity of tokenization in language models (LLMs). It helps users understand how tokenization affects the performance and capabilities of language models through detailed articles and examples.
ML-YouTube-Courses
ML-YouTube-Courses is an open source project dedicated to collating and indexing the latest and best machine learning courses on YouTube. The project includes courses on various topics, such as machine learning, deep learning, natural language processing, computer vision, etc., covering basic knowledge and cutting-edge technologies. The project helps developers and learners discover high-quality online tutorials efficiently.
AI Odyssey
Microsoft AI Journey is an AI skills challenge designed for developers. The activity includes two major modules: in the first module, students learn NLP, visual AI and other skills by completing a series of Azure AI service training; in the second module, they need to pass a series of task assessments and obtain Microsoft certification certificates. Completing the two modules will earn you a VIP pass to participate in the Microsoft AI Tour. The event aims to help developers master AI skills and obtain certificates.
generative-ai-for-beginners
The course contains 12 sections, starting from the basic knowledge of generative AI and language models, and gradually helping learners master the core skills of application development using platforms such as OpenAI, such as prompt engineering, building chat robots, semantic search, etc. Finally, some cases are provided for practical testing. The entire course is available for free and is suitable for beginners who want to quickly get started with generative AI development.