- Deep Learning with PyTorch
- Vishnu Subramanian
- 45字
- 2021-06-24 19:16:18
Who this book is for
This book is for engineers, data analysts, and data scientists, interested in deep learning, and those looking to explore and implement advanced algorithms with PyTorch. Knowledge of machine learning is helpful but not mandatory. Knowledge of Python programming is expected.
推薦閱讀
- FPGA從入門到精通(實戰篇)
- 基于Proteus和Keil的C51程序設計項目教程(第2版):理論、仿真、實踐相融合
- 數字道路技術架構與建設指南
- Deep Learning with PyTorch
- 電腦常見故障現場處理
- 深入淺出SSD:固態存儲核心技術、原理與實戰(第2版)
- 計算機維修與維護技術速成
- 基于Apache Kylin構建大數據分析平臺
- Spring Cloud微服務和分布式系統實踐
- Blender Game Engine:Beginner's Guide
- STM32自學筆記
- Intel FPGA權威設計指南:基于Quartus Prime Pro 19集成開發環境
- 單片機原理及應用
- 詳解FPGA:人工智能時代的驅動引擎
- Applied Deep Learning with Keras