Description: Fundamentals of Deep Learning : Designing Next-generation Machine Intelligence Algorithms, Paperback by Buduma, Nithin; Buduma, Nikhil; Papa, Joe, ISBN 149208218X, ISBN-13 9781492082187, Brand New, Free shipping in the US 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 jargonExamine the foundations of machine learning and neural networksManage problems that arise as you begin to make networks deeperBuild neural networks that analyze complex imagesPerform effective dimensionality reduction using autoencodersDive deep into sequence analysis to examine languageExplore methods in interpreting complex machine learning modelsGain theoretical and practical knowledge on generative modelingUnderstand the fundamentals of reinforcement learning
Price: 59.34 USD
Location: Jessup, Maryland
End Time: 2024-09-03T03:43:49.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Fundamentals of Deep Learning : Designing Next-generation Machine
Number of Pages: 387 Pages
Language: English
Publication Name: Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Neural Networks
Publication Year: 2022
Item Height: 0.9 in
Type: Textbook
Item Weight: 23.4 Oz
Author: Nikhil Buduma, Nithin Buduma, Joe Papa
Subject Area: Computers
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
