000			01388nam a22001937a 4500
005			20250626103311.0
020			_a9781492082187
082			_a006.3 _bBUD-F
100			_aBuduma, Nithin
245			_aFundamentals of Deep Learning _bDesigning next Generation Machine Intelligence Algorithms
250			_a2nd
260			_aSabetopol _bO'Reilly Media _c2022
300			_axiii, 372p.
500			_aWe're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.
504			_aIndex Included
650			_aDeep learning (Machine learning) Machine learning Artificial intelligence Neural networks (Computer science) Algorithms
700			_aBuduma, Nikhil & Papa, Joe
942			_cBK
999			_c35169 _d35169