000 | a | ||
---|---|---|---|
999 |
_c33026 _d33026 |
||
008 | 240407b xxu||||| |||| 00| 0 eng d | ||
020 |
_a9781119408338 _chbk |
||
082 |
_a500.20285 _bPYZ |
||
100 | _aPyzer-Knapp, Edward O. | ||
245 | _aDeep learning for physical scientists : accelerating research with machine learning | ||
260 |
_bJohn Wiley & Sons, _c2021 _aHoboken : |
||
300 |
_axii,196 p. ; _bill., _c23 cm |
||
365 |
_b71.95 _c$ _d86.30 |
||
504 | _aIncludes index. | ||
520 | _aDeep Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome. Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems. | ||
650 | _aAlgorithm | ||
650 | _aAuto-encoder | ||
650 | _aConvolutional | ||
650 | _aApprentissage automatique | ||
650 | _aMachine learning | ||
650 | _aData processing | ||
650 | _aPhysical sciences | ||
650 | _aPhysical sciences; | ||
650 | _aAlgorithm | ||
650 | _aAuto-encoder | ||
650 | _aApprentissage automatique | ||
650 | _aMachine learning | ||
650 | _aData processing | ||
700 | _aBenatan, Matthew | ||
942 |
_2ddc _cBK |