PLURALSIGHT.BUILDING.DEEP.LEARNING.MODELS.USING.APACHE.MXNET-JGTiSO
- Section
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Appz
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- JGTiSO
- Size
- 240,30 MB
- Files
- 19
- Date
- 2018-09-23
NFO
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███ ▀ * Title..: Pluralsight Building Deep Learning Models Using Apache MXNet
███ * Date...: 23-09-2018
▄ ███ * Type...: Bookware
▀▓███▓▓ █ * Disks..: 17x15mb
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░▒▓██████▀ ▄▀ ▀▓▀ Release notes:
▄▄▄
███ Apache MXNet offers low-level and high-level APIs which is
███ key to efficiently build neural networks. It also allows you
███ to construct static and dynamic graphs in a symbolic manner
███ using the Module API, the Symbol API, or the Gluon API. In
███ this course, Building Deep Learning Models Using Apache
███ MXNet, you'll learn the basic building blocks of building
███ neural networks using NDArrays, the Module API, the Symbol
███ API, as well as the cutting edge Gluon API. First, you'll
███ gain an understanding of the basic architecture of MXNet and
███ how the basic data structure NDArrays work. Next, you'll
███ discover the difference between symbolic and imperative
███ programming and when you would choose to use one over the
███ other. Then, you'll discover the use of optimizers, loss
███ functions, and data iterators in building and executing
███ neural networks. Finally, you'll explore the Gluon API and
███ build a convolutional neural network for image
███ classification and hybridize it in order to execute a static
███ computation graph. By the end of this course, you'll have
███ the confidence to efficiently build and execute neural
███ networks using all of the APIs that Apache MXNet has to
███ offer.
███
███
███ More info:
███ https://www.pluralsight.com
███
███ Install notes:
███
███ Unrar, Learn and Enjoy!
███
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▀▀▀▀ █ ▓▓ ▄ ▀ GREETINGS:
░▒▓██████▀ ▄▀ ▀▓▀
▄▄▄ AOD, CLASS, CROSSFiRE, JiOO, SAC, BBL
███ EVILISO, 4KIDS, SHOCK, MAGE, DYNAMiCS
███
███▄▀ ▄▀ Big thanks to all JGT sites, and
███▌ ██ ▒ sites accepting us!
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███ in memory of ▀ ▄█▀▀ ▄▀ drawn by the honored
███ THEPROF ▀ FX/SAC
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"judgement day is near..."
Files
| Path | Size |
| jgt-pbdlmu.r00 | 14,31 MB |
| jgt-pbdlmu.r01 | 14,31 MB |
| jgt-pbdlmu.r02 | 14,31 MB |
| jgt-pbdlmu.r03 | 14,31 MB |
| jgt-pbdlmu.r04 | 14,31 MB |
| jgt-pbdlmu.r05 | 14,31 MB |
| jgt-pbdlmu.r06 | 14,31 MB |
| jgt-pbdlmu.r07 | 14,31 MB |
| jgt-pbdlmu.r08 | 14,31 MB |
| jgt-pbdlmu.r09 | 14,31 MB |
| jgt-pbdlmu.r10 | 14,31 MB |
| jgt-pbdlmu.r11 | 14,31 MB |
| jgt-pbdlmu.r12 | 14,31 MB |
| jgt-pbdlmu.r13 | 14,31 MB |
| jgt-pbdlmu.r14 | 14,31 MB |
| jgt-pbdlmu.r15 | 11,41 MB |
| jgt-pbdlmu.rar | 14,31 MB |
| jgt-pbdlmu.sfv | 425 B |
| jgtiso.nfo | 6,32 KB |