Waubonsee Community College

The little learner, a straight line to deep learning, Daniel P. Friedman, Anurag Mendhekar ; drawings by Qingqing Su ; forewords by Guy L. Steele Jr. and Peter Norvig

Label
The little learner, a straight line to deep learning, Daniel P. Friedman, Anurag Mendhekar ; drawings by Qingqing Su ; forewords by Guy L. Steele Jr. and Peter Norvig
Language
eng
Bibliography note
Includes bibliographical references and index
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
The little learner
Nature of contents
bibliography
Oclc number
1345221056
Responsibility statement
Daniel P. Friedman, Anurag Mendhekar ; drawings by Qingqing Su ; forewords by Guy L. Steele Jr. and Peter Norvig
Sub title
a straight line to deep learning
Summary
"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." --, Publisher's website
Table Of Contents
Foreword / by Guy L. Steele Jr. -- Foreword / by Peter Norvig -- Preface -- Transcribing to Scheme -- Are you Schemish? -- The lines sleep tonight -- The more we learn, the tenser we become -- The more we extend, the less tensor we get -- Running down a slippery slope -- Slip-slidin' away -- Too many toys make us hyperactive -- Target practice -- The shape of things to come -- An apple a day -- The crazy "ates" -- The nearer your destination, the slower you become -- Smooth operator -- Be adamant -- Extensio magnifico! -- Doing the neuron dance -- In love with the shape of relu -- Rock around the block -- An eye for an iris -- How the model trains -- Are your signals crossed? -- It's really not that convoluted . . . -- . . . But it is correlated! -- Epilogue : we've only just begun -- Appendix A: Ghost in the machine -- Appendix B: I could have raced all day
Classification
Content
Mapped to