Interpretability in Deep Learning Somani Ayush
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In…
Specifikacia Interpretability in Deep Learning Somani Ayush
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic.The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.
Deep Learning in Science
Learning Deep Learning
Deep Learning
Generative Deep Learning
Explainable Deep Learning AI
Deep Learning Goodfellow Ian
TensorFlow for Deep Learning
Fundamentals of Deep Learning
Deep Learning from Scratch
Deep Learning with PyTorch
Advanced Applied Deep Learning