[외서]
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
[ Paperback ]
[외서]
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
[ Paperback ]
[eBook]
인공지능엔지니어 - 머신러닝 (Machine Learning), 딥러닝 (Deep Learning), 자연어 처리 (Natural Language Processing), 컴퓨터 비전 (Computer Vision), 강화학습 (Reinforcement Learning), 데이터 분석 (Data A
[ EPUB ]
[외서]
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using Tensorflo
[ Paperback ]
[외서]
Deep Reinforcement Learning Hands-On - Second Edition: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web
[ Paperback, 2nd Edition ]
[직수입양서]
3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning: Mathematical Approaches and Applications, Volume 1
[ Paperback ]
Jain, Lakhmi C. / Kountchev, Roumen / Shi, Junsheng
Springer