Kneusel, Ron
Practical Deep Learning: A Python-Based Introduction
- ISBN 13:
- 9781718500747
- author:
- Kneusel, Ron
- format:
- Paperback / softback
- publisher:
- No Starch Press,US
- language:
- English
- Publication Year:
- 2021
- Pages:
- 450
- Dimensions:
- 23.4 x 17.8 x 3.3 centimetres (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Practical Deep Learning: A Python-Based Introduction is an ideal starting point for those new to machine learning and artificial intelligence. This comprehensive guide focuses on deep learning, explaining core concepts and providing the foundation needed to build models.
With basic familiarity with computer programming and high school math, you'll learn how to build a good training dataset, work with popular libraries like scikit-learn and Keras, and evaluate model performance. You'll also discover how classic machine learning models work, how neural networks are trained, and how to develop successful deep learning models from scratch.
Through experiments and a final case study, you'll gain the skills and confidence to tackle your own machine learning projects. This book is perfect for anyone looking to explore the dynamic field of deep learning and machine learning.
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