Galea, Alex
Applied Deep Learning with Python
- ISBN 13:
- 9781789804744
- author:
- Galea, Alex
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2018
- Pages:
- 334
- Dimensions:
- 7.50(w) x 9.25(h) x 0.70(d)
- Genre:
- Computer Science Textbook
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
A practical guide to deep learning with Python, covering key foundational concepts and providing step-by-step exercises to build skills for real-world applications.
This book takes an iterative approach, starting with the Jupyter ecosystem, visualization libraries, and data sanitization techniques before training a predictive model. You'll explore classification approaches, including support vector networks, random decision forests, and k-nearest neighbours, and learn how to apply these concepts in practice.
As you progress, you'll build upon your understanding by exploring interactive visualizations, ethical web scraping, and deep reinforcement learning. The book concludes with a project that uses a trained neural network to predict the future price of Bitcoin based on historical data, covering common architectures and model optimization techniques along the way.
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