Books I wrote while learning — working through ideas by putting them into words, one chapter at a time.
7 items
Auto Diff book notes, into 22 chapters.
1.1 What Is Deep Learning 1.2 The PyTorch Ecosystem 1.3 Dynamic Computation Graphs 1.4 Tensor-Based Computation 1.5 GPUs and Accelerators 1.6 PyTorch Versus Other Frameworks 1.7 Installing and Configuring PyTorch 1.8
Learn series — hands-on books Book notes.
Modern Number Theory book notes, into 5 chapters.
Zig book notes, into 24 chapters.
A comprehensive book covering linear algebra from foundations through spectral theory, matrix decompositions, numerical methods, and modern applications in ten parts with appendices.
A comprehensive reference covering graph theory from elementary definitions through structural theory, algorithms, algebraic methods, probabilistic models, computational complexity, and modern applications in fourteen parts with appendices.