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...

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10,000

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selects the mux channel and configures the MAX197 for second write pulse, written with ACQMOD = 0,

selects the mux channel and configures the MAX197 for second write pulse, written with ACQMOD = 0, termi- either unipo...

2016-12-24 198 Deep-Learning-with-PyTorch

％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％％ If desired, it is p

％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％％ If desired, it is possible to use regul...

2016-12-27 168 Deep-Learning-with-PyTorch

HDFDUMP and BRFDUMP are utility programs developed for use with MISR data files. HDFDUMP will ext

HDFDUMP and BRFDUMP are utility programs developed for use with MISR data files. HDFDUMP will extract data from a MIS...

2017-04-02 72 Deep-Learning-with-PyTorch

The double-density DWT is an improvement upon the critically sampled DWT with important additional p

The double-density DWT is an improvement upon the critically sampled DWT with important additional properties: (1) It em...

2017-04-03 37 Deep-Learning-with-PyTorch

This application note describes how to connect Ethernet interface with NXP LPC2000 series ARM MCU. R

This application note describes how to connect Ethernet interface with NXP LPC2000 series ARM MCU. Reference schematics ...

2017-04-09 118 Deep-Learning-with-PyTorch

This is a good book explaining the adaptive theory fundamentals with matlab routines covers all the

This is a good book explaining the adaptive theory fundamentals with matlab routines covers all the adaptive filter desi...

2017-04-16 96 Deep-Learning-with-PyTorch

tms320lf2407a work with at45db161 "trace". buffer 8000 word copy from sram to at45. first page con

tms320lf2407a work with at45db161 "trace". buffer 8000 word copy from sram to at45. first page content: num save, to c...

2014-12-05 132 Deep-Learning-with-PyTorch

A 13.56 MHz RFID transponder front-end with merged load modulation and voltage doubler-clamping rect

A 13.56 MHz RFID transponder front-end with merged load modulation and voltage doubler-clamping rectifier circuits

2017-01-12 127 Deep-Learning-with-PyTorch

Deep-Learning-with-PyTorch 源代码

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deep

learning with continuous classes.pdf

learning logic with mathcad.mcd

deep-prune.gif

deep-cr_setup.exe

deep vc.doc