This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical...
Deep Learning with JavaScript: Neural networks in TensorFlow.js shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this book provides fascinating use cases and in-depth instruction...