000 | 01195nam a2200193 4500 | ||
---|---|---|---|
020 | _a9789352139248 | ||
082 |
_a006.31 _bKOU/P |
||
100 | _aKoul, Anirudh | ||
245 |
_aPractical Deep Learning for Cloud, Mobile, and Edge _breal-world AI & computer-vision projects using python, keras & tensorflow |
||
260 |
_aMumbai _bShroff Pub _c2020 |
||
300 | _axxvi,558p. | ||
520 | _a Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. | ||
650 | _aArtificial Intelligence | ||
650 | _aMachine Learning | ||
700 | _aAnirudh Koul | ||
700 | _aGanju, Siddha | ||
700 | _aKasam, Meher | ||
942 | _cBK | ||
999 |
_c76267 _d76267 |