Fundamentals of Deep Learning Designing next Generation Machine Intelligence Algorithms
Material type:
- 9781492082187
- 006.3 BUD-F
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Air University Central Library Islamabad Software Engineering | Software Engineering | 006.3 BUD-F (Browse shelf(Opens below)) | Available | P14156 | |
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Air University Central Library Islamabad Software Engineering | Software Engineering | 006.3 BUD-F (Browse shelf(Opens below)) | Available | P14157 |
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005.8 PFL-S Security in Computing Vol-II | 005.8 WHI-P Principles of Information Security | 005.8 WHI-P Principles of Information Security | 006.3 BUD-F Fundamentals of Deep Learning Designing next Generation Machine Intelligence Algorithms | 006.3 BUD-F Fundamentals of Deep Learning Designing next Generation Machine Intelligence Algorithms | 006.3 HIT-F Foundations of Semantic Web Technologies | 006.3 HIT-F Foundations of Semantic Web Technologies |
We'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.
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