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The Little Learner: A Straight Line to Deep Learning .. NEW
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US $4,00 (circa EUR 3,44) USPS Media MailTM.
Oggetto che si trova a: Westlake, Ohio, Stati Uniti
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Consegna prevista tra il sab 30 ago e il ven 5 set a 94104
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Numero oggetto eBay:236239021775
Specifiche dell'oggetto
- Condizione
- ISBN
- 9780262546379
Informazioni su questo prodotto
Product Identifiers
Publisher
MIT Press
ISBN-10
026254637X
ISBN-13
9780262546379
eBay Product ID (ePID)
19057248125
Product Key Features
Number of Pages
440 Pages
Language
English
Publication Name
Little Learner : a Straight Line to Deep Learning
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, General
Publication Year
2023
Type
Textbook
Subject Area
Computers, Science
Format
Uk-Trade Paper
Dimensions
Item Height
1 in
Item Weight
29.2 Oz
Item Length
9 in
Item Width
7 in
Additional Product Features
Intended Audience
Trade
LCCN
2022-045341
TitleLeading
The
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.31
Table Of Content
Foreword by Guy L. Steele Jr. xi Foreword by Peter Norvig xiii Preface xix Transcribing to Scheme xxiii 0. Are You Schemish? 2 1. The Lines Sleep Tonight 18 2. The More We Learn, the Tenser We Become 30 Interlude I. The More We Extend, the Less Tensor We Get 46 3. Running Down a Slippery Slope 56 4. Slip-slidin' Away 72 Interlude II. Too Many Toys Make Us Hyperactive 92 5. Target Practice 98 Interlude III. The Shape of Things to Come 112 6. An Apple a Day 116 7. The Crazy "ates" 130 8. The Nearer Your Destination, the Slower You Become 144 Interlude IV. Smooth Operator 154 9. Be Adamant 162 Interlude V. Extensio Magnifico! 176 10. Doing the Neuron Dance 194 11. In Love with the Shape of Relu 212 12. Rock Around the Block 236 13. An Eye for an Iris 250 Interlude VI. How the Model Trains 270 Interlude VII. Are Your Signals Crossed? 282 14. It's Really Not That Convoluted 298 15. ...But It Is Correlated! 320 Epilogue. We've Only Just Begun 342 Appendix A. Ghost in the Machine 350 Appendix B. I Could Have Raced All Day 374 Acknowledgments 399 References 401 Index 402
Synopsis
A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style. The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Starting from scratch, the reader is led through a complete implementation of a substantial application- a recognizer for noisy Morse code signals. Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation. Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun Incremental approach constructs advanced concepts from first principles Presents key ideas of machine learning using a small, manageable subset of the Scheme language Suitable for anyone with knowledge of high school math and some programming experience, The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation. Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun, Presents key ideas of machine learning using a small, manageable subset of the Scheme language, Suitable for anyone with knowledge of high school math and some basic programming experience
Illustrated by
Su, Qingqing
LC Classification Number
Q325.73.F75 2023
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- 2***4 (114)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoNEW Leather compact devotionals are beautiful....in mint condition...including the exterior gift box. I will certainly purchase again from this seller cuz the value is amazing....as is the customer service. The Seller made my shopping experience easy, care free, and responded quickly providing the information I requested and more. My purchase arrived extremely fast with NO damage due to the great care taken in packaging them. WOW!!. A GREAT buy too. :)Daily Light Devotional (Burgundy Leather) .. NEW (N° 296687276803)
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