Deep Learning illustriert
Home > General > Deep Learning illustriert
Deep Learning illustriert

Deep Learning illustriert


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
About the Book

Deep Learning verandert unseren Alltag. Dieser Ansatz fur maschinelles Lernen erzielt bahnbrechende Ergebnisse in einigen der bekanntesten Anwendungen von heute, in Unternehmen von Google bis Tesla, Facebook bis Apple. Tausende von technischen Fachkraften und Studenten wollen seine Moglichkeiten einsetzen, aber fruhere Bucher uber Deep Learning waren oft nicht intuitiv, unzuganglich und trocken. John Krohn, Grant Beylefeld und Aglae Bassens bieten Ihnen eine einzigartige visuelle, intuitive und verstandliche Einfuhrung in Techniken und Anwendungen von Deep Learning. Mit den farbenfrohen Illustrationen und eingangigen Erlauterungen von "Deep Learning illustriert" gelingt Ihnen ein einfacher Zugang zum Aufbau von Deep-Learning-Modellen, und bringt ihnen beim Lernen mehr Spaß.Der erste Teil des Buches erklart, was Deep Learning ist, warum es so allgegenwartig geworden ist und wie es mit Konzepten und Terminologien wie kunstlicher Intelligenz, Machine Learning oder kunstlichen neuronalen Netzen interagiert. Dabei verwenden die Autoren leicht verstandliche Analogien, lebendige Grafiken und viele Beispiele.Auf dieser Grundlage prasentieren die Autoren eine praktische Referenz und ein Tutorial zur Anwendung eines breiten Spektrums bewahrter Techniken des Deep Learning. Die wesentliche Theorie wird mit so wenig Mathematik wie moglich behandelt und mit praktischem Python-Code beleuchtet. Praktische Beispiele zum Ausprobieren, die kostenfrei online verfugbar sind (Jupyter-Notebooks), machen Ihnen die Theorie begreiflich. So erlangen Sie ein pragmatisches Verstandnis aller wichtigen Deep-Learning-Ansatze und ihrer Machine Vision, Natural Language Processing, Bilderzeugung und Spielalgorithmen.Um Ihnen zu helfen, mehr in kurzerer Zeit zu erreichen, stellen die Autoren mehrere der heute am weitesten verbreiteten und innovativsten Deep-Learning-Bibliotheken vor, - TensorFlow und seine High-Level-API, Keras- PyTorch- High-Level-Coach, eine TensorFlow-API, die die Komplexitat, die typischerweise mit der Entwicklung von Deep Reinforcement Learning-Algorithmen verbunden ist, abstrahiert.


Best Sellers



Product Details
  • ISBN-13: 9783864906633
  • Publisher: Na
  • ISBN-10: 3864906636


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Deep Learning illustriert
Na -
Deep Learning illustriert
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Deep Learning illustriert

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!