虫虫虫开发者社区

上传资源

Deep-Learning-with-PyTorch

探索Deep-Learning-with-PyTorch，掌握前沿深度学习技术。PyTorch以其动态计算图和易用性成为研究与开发的首选框架。适用于图像识别、自然语言处理及更多AI领域，助力工程师快速构建高效模型。本页面汇集4680个精选资源，从基础教程到实战项目，全方位支持您的学习与创新之旅。立即...

资源总数

2,482

源代码

10,000

Deep-Learning-with-PyTorch 热门资料

查看全部 2,482 份 →

Distribution generator Here is a simple generator which can build some distributions with given pro

Distribution generator Here is a simple generator which can build some distributions with given properties. Distributi...

2014-01-27 150 Deep-Learning-with-PyTorch

ＦＤＴＤ　 !-- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999 !-- by Jos Bergervoet.

ＦＤＴＤ　 !-- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999 !-- by Jos Bergervoet. !-- Plot field and...

2015-10-02 107 Deep-Learning-with-PyTorch

Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful

Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful pictures such as th...

2016-11-03 172 Deep-Learning-with-PyTorch

Synthetic Aperture Radar Signal Processing with MATLAB Codes(Wiley, 1999)一书的源码

Synthetic Aperture Radar Signal Processing with MATLAB Codes(Wiley, 1999)一书的源码

2013-12-24 76 Deep-Learning-with-PyTorch

Implementing a Quad 1200 baud Full-duplex software UART with Salvo au1200的资料

Implementing a Quad 1200 baud Full-duplex software UART with Salvo au1200的资料

2014-06-20 175 Deep-Learning-with-PyTorch

I/O Buffer Information Specification (IBIS) models for AT91SAM7SE512/256 in LQFP pacakge with VDDIO

I/O Buffer Information Specification (IBIS) models for AT91SAM7SE512/256 in LQFP pacakge with VDDIO at 3.3V.

2013-12-24 134 Deep-Learning-with-PyTorch

This zip file provides Getting Started quickly on the AT91RM9200 Evaluation Kit (AT91RM9200-EK) with

This zip file provides Getting Started quickly on the AT91RM9200 Evaluation Kit (AT91RM9200-EK) with Green Hills 3.6.1 M...

2013-12-26 67 Deep-Learning-with-PyTorch

MIRACL compiler/hardware definitions - mirdef.h This version suitable for use with most 32-bit comp

MIRACL compiler/hardware definitions - mirdef.h This version suitable for use with most 32-bit computers

2014-11-23 25 Deep-Learning-with-PyTorch

Deep-Learning-with-PyTorch 源代码

查看全部 10,000 份 →

learning with continuous classes.pdf

learning logic with mathcad.mcd

deep-cr_setup.exe