000			01091aam a2200217 4500
003			OSt
005			20221105162029.0
008			220615b |||||||| |||| 00| 0 eng d
020			_a9781032028828
040			_c
082			_a006.31 _bVAS
100			_aVasudevan, Shriram K. _960222
245			_aDeep Learning: A Comprehensive Guide
260			_bChapman and Hall _c2021 _aBoca Raton
300			_a290p
500			_a1. Introduction to Deep Learning 2. The Tools and Prerequisites 3. Machine Learning: The Fundamentals 4. The Deep Learning Framework 5. CNN– Convolutional Neural Networks – A Complete Understanding 6. CNN Architectures – An Evolution 7. Recurrent Neural Networks 8. Autoencoders 9. Generative Models 10. Transfer Learning 11. Intel OpenVino – A Must Know Deep Learning Toolkit 12. Interview Questions and Answers
600			_aDeep Learning (Machine Learning) _960958
700			_aPulari, Sini Raj _960959
700			_aVasudevan, Subashri _960960
942			_2ddc _cLB _k006.31 _mVAS
999			_c138427 _d138427