000 | 01318nam a22001697a 4500 | ||
---|---|---|---|
008 | 240201b |||||||| |||| 00| 0 eng d | ||
020 | _a9783030317621 | ||
050 |
_aQ325.5 _b.D44 2020 |
||
245 |
_aDeep learning: _balgorithms and application/ _cedited by Witold Pedrycz & Shyi-Ming Chen |
||
260 |
_aCham, Switzerland: _bSpringer, _cc2020 |
||
300 |
_axii, 360p: _bill.; _c24 cm |
||
500 | _aIncludes bibliographic references and Index | ||
505 | _aActivation functions -- Adversarial examples in deep neural networks : an overview -- Representation learning in power time series forecasting -- Deep learning Applications: load forecasting in big data of smart grids -- Fast and accurate seismic tomography via deep learning -- Traffic light and vehicle signal recognition with high dynamic range imaging and deep learning --The application of deep learning in marine sciences -- Deep learning case study on imbalanced training data for automatic bird identification -- Deep learning for person re- Identification in Surveillance Video's -- Deep learning in gait analysis for security and healthcare -- deep learning for building occupancy estimation using environment sensors. | ||
700 |
_aPedrycz, Witold _ceditor |
||
700 |
_aChen, Shyi-Ming. _ceditor |
||
942 |
_2lcc _cBK _hQ325.5 _kQ325.5 _m.D44 2020 |
||
999 |
_c5896 _d5896 |