FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    PyTorch Pocket Reference

PyTorch Pocket Reference

Joe Papa
    Product form
      FORMAT: Paperback / softback

      R 684.00 Price and availability exclusive to website

      YOU COULD EARN 684 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 20 - 30 Business Days
      BUY NOW PAY LATER
      From R 114.00 per month!
      3x monthly payments of R 228.00 with
      4x fortnightly payments of R 171.00 with
      This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network developmentafrom loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices.Learn basic PyTorch syntax and design patternsCreate custom models and data transformsTrain and deploy models using a GPU and TPUTrain and test a deep learning classifierAccelerate training using optimization and distributed trainingAccess useful PyTorch libraries and the PyTorch ecosystem
      Format: Paperback / softback CONTRIBUTORS: Joe Papa EAN: 9781492090007 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 178 cm
      PUBLISHED BY: O'Reilly Media DATE PUBLISHED: 2021-05-21 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Machine Theory, COMPUTERS / Programming / Algorithms WIDTH: 108 cm SPINE:

      Book Themes:

      Operational research, Enterprise software, Computer programming / software engineering, Algorithms and data structures, Database design and theory, Data capture and analysis, Mathematical theory of computation, Artificial intelligence, Machine learning, Information architecture

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.
      This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network developmentafrom loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices.Learn basic PyTorch syntax and design patternsCreate custom models and data transformsTrain and deploy models using a GPU and TPUTrain and test a deep learning classifierAccelerate training using optimization and distributed trainingAccess useful PyTorch libraries and the PyTorch ecosystem
      Format: Paperback / softback CONTRIBUTORS: Joe Papa EAN: 9781492090007 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 178 cm
      PUBLISHED BY: O'Reilly Media DATE PUBLISHED: 2021-05-21 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Machine Theory, COMPUTERS / Programming / Algorithms WIDTH: 108 cm SPINE:

      Book Themes:

      Operational research, Enterprise software, Computer programming / software engineering, Algorithms and data structures, Database design and theory, Data capture and analysis, Mathematical theory of computation, Artificial intelligence, Machine learning, Information architecture

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account