数学の言語を用いて、深層学習の完全で簡潔な概観を示す本書。機械学習と最適化アルゴリズムの充実した背景知識を提供し、深層学習のキーアイデアを通して進む。数学的な記法に慣れた読者にとっての理想的な一冊。This book provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms and progresses through the key ideas of deep learning. These ideas and architectures include deep neural networks, convolutional models, recurrent models, long/short-term memory, the attention mechanism, transformers, variational auto-encoders, diffusion models, generative adversarial networks, reinforcement learning, and graph neural networks.