| 000 | 01715nam a22003017i 4500 | ||
|---|---|---|---|
| 005 | 20250903132506.0 | ||
| 008 | 250811s2021 us ao||fr|||| 001 0 eng d | ||
| 020 | _a9781484268421 | ||
| 040 |
_aEG-GaU _cEG-GaU _dEG-GaU _erda |
||
| 082 | 0 | 4 |
_223 _a006.3 _bs.n.b |
| 100 | 1 |
_aSuryadevara, Nagender Kumar, _eauthor. _962190 |
|
| 245 | 1 | 0 |
_aBeginning Machine Learning in the Browser : _bQuick-start Guide to Gait Analysis with JavaScript and TensorFlow.js / _cNagender Kumar Suryadevara. |
| 250 | _afirst edition. | ||
| 264 | 1 |
_aNew York : _bApress, _c2021. |
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| 300 |
_a182 pages : _billustrations ; _c23 cm. |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 504 | _aIncludes bibliographical references. | ||
| 505 | _aChapter 1: Web Development; Chapter 2: Browser-based Data Processing; Chapter 3: Human Pose; Chapter 4: Human Pose Classification; Chapter 5: Gait Analysis; Chapter 6: Future Possibilities for Running AI Methods in a Browser. | ||
| 520 | _aA hands-on introduction to implementing machine learning in the browser using JavaScript and TensorFlow.js. Focuses on human gait analysis, from interactive graphics to pose classification and recognition of normal vs. abnormal patterns—ideal for students and web developers learning AI in resource-constrained environments.turn0search0turn0search8 | ||
| 650 | 0 |
_aMachine learning _xbrowser applications. _962191 |
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| 650 | 0 |
_aJavaScript _xmachine learning. _962192 |
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| 650 | 0 |
_aData protection _xpsychology professionals. _962162 |
|
| 700 | 1 |
_aPatekar, Sunil, _eauthor. _962173 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c11710 _d11710 |
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