| 000 | 01091nam a22001697a 4500 | ||
|---|---|---|---|
| 020 | _a9780750340229 | ||
| 082 |
_a006.31 _bBEN/D |
||
| 100 | _aBenedict Shajulin | ||
| 245 | _aDeep Learning Technologies for Social Impact | ||
| 260 |
_aBristol _bIOP Publishing _c2022 |
||
| 490 | _aIOP Series in Next Generation Computing | ||
| 505 | _aI Introduction 1 Deep Learning for Social Good – An Introduction 2 Applications for Social Good 3 Computing Architectures – Base Technologies II Deep Learning Techniques 4 CNN Techniques 5 Object Detection Techniques and Algorithms 6 Sentiment Analysis – Algorithms and Frameworks 7 Auto Encoders and Variational AutoEncoders 8 GANs and Disentangled Mechanisms 9 Deep Reinforcement Learning architectures 10 Facial Recognition and Applications III Security, Performance, and Future Directions 11 Data Security and Platforms 12 Performance Monitoring and Analysis 13 Deep Learning – The future perspectives | ||
| 650 | _aDeep Learning Techniques | ||
| 650 | _aApplications for Social Good | ||
| 650 | _aCNN Techniques | ||
| 942 | _cBK | ||
| 999 |
_c2664 _d2664 |
||