Some of the best resources to learn deep learning in 2020 include online courses, textbooks, and research papers. Online platforms like Coursera and edX offer popular courses such as the “Deep Learning Specialization” by Andrew Ng and “CS231n: Convolutional Neural Networks for Visual Recognition” from Stanford University. These courses provide hands-on experience with deep learning concepts and practical applications. Textbooks like “Deep Learning” by Ian Goodfellow and Yoshua Bengio, and “Deep Learning with Python” by François Chollet are excellent resources for understanding both the theoretical and practical aspects of deep learning. These books cover topics like neural networks, CNNs, RNNs, and advanced techniques such as reinforcement learning and GANs. Research papers and arXiv.org provide cutting-edge developments in the field. Following influential conferences such as NeurIPS, CVPR, and ICML also offers insight into the latest advancements in deep learning research. Participating in online communities like Reddit, StackOverflow, or Kaggle can help stay updated and solve practical problems in deep learning.
What are the best resources to learn about deep learning?
- Natural Language Processing (NLP) Basics
- AI & Machine Learning
- Vector Database 101: Everything You Need to Know
- Exploring Vector Database Use Cases
- How to Pick the Right Vector Database for Your Use Case
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What role does cosine similarity play in recommender systems?
Cosine similarity is a key technique used in recommender systems to measure how similar two items or users are based on
What is a product recommendation system?
A product recommendation system suggests items to users based on their preferences, behavior, and context. These systems
How can knowledge graphs be used for real-time data processing?
Knowledge graphs can significantly enhance real-time data processing by providing structured relationships between vario