02197nam a2200241   4500999001700000005001700017020001800034040000800052082002600060100002100086245009500107250001200202260005500214260002900269300001900298521138800317650002701705650004301732700002601775700002101801942001401822952011901836  c13057d1305720230913115757.0  a9789355420121  cAEF  223rd ed.a006.31bBUD  aBoduma, N.93258  aFundamentals of deep learning bdesigning next generation machine intelligence algorithams  a2nd ed.  aMumbai:bShroff publishers and distributers,c2022  aBiging:bO'Reilly,c2022  a373 p.:c23 cm  a

All Indian Reprints of O'Reilly are printed in Grayscale

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.

    Learn the mathematics behind machine learning jargon
    Examine the foundations of machine learning and neural networks
    Manage problems that arise as you begin to make networks deeper
    Build neural networks that analyze complex images
    Perform effective dimensionality reduction using autoencoders
    Dive deep into sequence analysis to examine language
    Explore methods in interpreting complex machine learning models
    Gain theoretical and practical knowledge on generative modeling
    Understand the fundamentals of reinforcement learning

  aMachine learning93167  aDeep learning (Machine learning)93259  aBuduma, Nikhil 93260  aPapa, Joe 93261  2ddccBook  00102ddc40708CSaAEFbAEFd2024-11-30e20g1320.00o005.1 BUDp8597r2024-11-30t01v1650.00w2024-11-30yBook