Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn from large amounts of data. Here are some resources to help you dive deeper into the world of deep learning.
Learning Materials
- Deep Learning Specialization by Andrew Ng - This is a comprehensive course series that covers the fundamentals of deep learning.
- Fast.ai - A research lab that offers free courses and resources for deep learning beginners.
Books
- "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - This book is considered a standard reference for deep learning.
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron - A practical guide to applying machine learning to real-world problems.
Tutorials
- TensorFlow Tutorial - Step-by-step guides to help you get started with TensorFlow.
- PyTorch Tutorial - Tutorials for getting started with PyTorch, a popular deep learning framework.
Communities
- Reddit - r/MachineLearning - A community for discussing machine learning topics.
- Stack Overflow - Machine Learning - A Q&A site for developers to learn, share their knowledge, and build their careers.
Images
For more resources and tutorials, check out our Deep Learning Resources page on this website.