Dive Into Deep Learning

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola wrote an open-source book and a free interactive deep learning course. Through mathematical explanations, graphics, and executable Jupyter notebooks, it offers a practical method for studying deep learning. Linear algebra, neural networks, CNNs, RNNs, attention mechanisms, transformers, optimization, and contemporary deep learning applications utilizing frameworks like PyTorch, TensorFlow, JAX, and NumPy/MXNet are all covered in this course.

Provider/Creator: Aston Zhang et al.
Platform: D2L.ai
Category: Deep Learning Theory + Practice
Level: Beginner–Advanced
Duration: Self-paced
Certificate: No
Rating: ⭐ 4.8/5
Direct Course Link: Dive Into Deep Learning
Recommended For: Students, researchers