- Pattern Recognition and Machine Learning by C. Bishop, Python codes, Matlab codes
- Probabilistic Machine Learning
- Deep Learning Book by Goodfellow, Bengio and Courville. This is a good book for beginners and looks are the various components needed to build and train neural networks.
- Various keywords used by people working with machine learning.
- TensorFlow tutorial.
- The 5 part Deep Learning Specialization course offered on Coursera, taught by Andrew NG and other experts in the field.
- Notes and slides from the Deep Learning course taught at Standford.
- Neural networks tutorial
- Mathematics for Machine Learning
- Dagrada: Intro to PINNs (Article)
- Henderson: PINNs (Article)
- PINNs, Github (Software)
- PINN for PDEs using TF/Keras (Software)
- Physics-based deep learning, PDF version (Book)
- DeepXDE, Documentation (Software)
- NeuralPDE.jl: PINNs in Julia (Software)