← Back to Codex
The deep learning revolution cover

Open Library

The deep learning revolution

Open Library

Terrence J. Sejnowski

ImportedDifficulty 3/5Order #wishlist

Description

How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

Codex Insight

Book Intelligence

Explore summaries, central ideas, meaningful passages, reading questions and a growing interpretation of this book.

This book has not been analysed yet.

Codex can generate a spoiler-free overview, full summary, central ideas, chapter structure, meaningful passages and reading questions from the indexed text.

Reading conversation

Talk with this book

Ask questions grounded in the indexed text, your saved notes, quotations and themes for The deep learning revolution.

Begin a reading conversation

Try asking about a character, theme, difficult passage, philosophical question or one of your own saved annotations.

Answers are grounded in stored Codex evidence.

Reading

Library copies

Loading audio reader…

Preparing available voices and your saved reading position.

Add to library

Upload a book copy

Upload a file you own or are permitted to store. Supported formats include PDF, EPUB, text, Markdown, CSV and ZIP.

Maximum file size: 100 MB

External links

Wisdom Engine

Discover passages worth keeping

Search the indexed primary text for reflective passages and send the strongest candidates to your curator's desk for review.

Your reading

Notes

Add a note

No notes for this book yet.

Passages

Quotes

Add quote

No quotes saved for this book yet.

Living knowledge

Connections

Related books

Related knowledge

External readSimilarity: 0.621

Introduction to Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare MIT OpenCourseWare This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. It emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems. https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/

External readSimilarity: 0.575

GitHub - mawady/awesome-computer-vision-resources: A structured learning reference for computer vision: from image fundamentals to research frontiers GitHub A structured learning reference for computer vision: from image fundamentals to research frontiers - mawady/awesome-computer-vision-resources https://github.com/mawady/awesome-computer-vision-resources

NoteSimilarity: 0.569

Under Crime and Punishment ustice extends far beyond the legal, court-based system. The novel primarily explores psychological justice, asserting that true retribution for moral transgressions is an inescapable, self-inflicted torment of guilt, while authentic redemption requires spiritual rebirth and suffering rather than mere legal punishment

External readSimilarity: 0.541

MIT OpenCourseWare | Free Online Course Materials MIT OpenCourseWare MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity https://ocw.mit.edu/

External readSimilarity: 0.536

AI & ChatGPT Courses Generative AI https://www.linkedin.com/feed/update/urn:li:groupPost:6731624-7458105740260577280/?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAAAjAjYsBU8DxE_HE298uJ8uo6Z6DuXaH3bo

QuoteSimilarity: 0.534

The mystery of human existence lies not in just staying alive, but in finding something to live for. A central Dostoevsky theme: meaning, suffering, and moral responsibility. The Brothers Karamazov