Welcome to the Deep Learning Resources page! Here are some curated materials to help you dive into the world of deep learning:
📘 Books & Papers
"Deep Learning" by Ian Goodfellow – A comprehensive guide to neural networks and their applications.
[Read more about this book](/tutorial)"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron – Practical examples for beginners.
🎓 Online Courses
Andrew Ng's Deep Learning Specialization on Coursera – A popular course for mastering deep learning concepts.
[Explore more courses](/faq)Deep Learning AI by deeplearning.ai – Interactive lessons with real-world projects.
🧠 Frameworks & Tools
TensorFlow – Open-source library for building and training ML models.
PyTorch – Dynamic computation library for deep learning research.
🧑💻 Communities & Forums
Reddit's r/MachineLearning – A vibrant community for discussions and sharing resources.
Stack Overflow – Q&A platform for troubleshooting deep learning issues.
Need more guidance? Check out our tutorials for hands-on learning! 🚀