Practical Deep Learning: A Python-Based Introduction – eBook PDF

eBook details

  • Author: Ron Kneusel
  • File Size: 12 MB
  • Format: PDF
  • Length: 464 Pages
  • Publisher: No Starch Press
  • Publication Date: March 16, 2021
  • Language: English
  • ASIN: B085BVZ9CK
  • ISBN-10: 2020035097, 2020035098, 1718500742, 1718500750
  • ISBN-13: 9781718500747, 9781718500754

$35.99 $5.00

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Practical Deep Learning: A Python-Based Introduction – eBook PDF

Practical Deep Learning (ePub/PDF) teaches complete beginners how to build the datasets and models needed to train neural networks for their own DL projects.

If you’ve been inquisitive about machine learning but didn’t know where to start, this is the ebook you’ve been waiting for. Emphasizing the subfield of machine learning known as deep learning, it explains key concepts and gives you the foundation you need to start building your own models. Instead of simply outlining recipes for using existing toolkits Practical Deep Learning: A Python-based Introduction teaches you the way of deep learning and will motivate you to explore further.

All you require basic familiarity with computer programming and high school math—the ebook will cover the rest. After an introduction to Python, you’ll move through main topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and assess your models’ performance.

You’ll also learn:

  • How to use convolutional neural networks
  • How neural networks work and how they’re trained
  • How to develop a successful deep learning model from scratch
  • How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines

You’ll run experiments along the way, building to a final case study that includes everything you’ve learned.

The ideal introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the confidence and skills to dive into your own machine learning projects.

Review

Practical Deep Learning is the perfect ebook for someone looking to break into deep learning. This ebook achieves an ideal balance between explaining prerequisite introductory material and exploring the nuanced intricacies of the methods described. The reader will come away with a solid basic understanding of the content as well as the practical knowledge required to implement the methods to real-world problems. Deep learning will continue to allow many breakthroughs in artificial intelligence applications and this ebook covers all that is needed to springboard into this exciting field.” Matt Wilder, longtime neural network practitioner, and owner of Wilder AI, a deep learning artificial intelligence consulting company.

NOTE: The product only includes the ebook, Practical Deep Learning in original ePub. A converted PDF is available upon request. No access codes are included.

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