April 2017
Intermediate to advanced
406 pages
10h 15m
English
Overview
Python Deep Learning is your practical guide to mastering the latest in deep learning techniques using Python. You will discover real-world implementations of advanced algorithms and libraries such as Theano, TensorFlow, and Keras. This book equips you with the skills to tackle complex data challenges, making it a must for anyone aiming to excel in AI, machine learning, or data science.
What this Book will help me do
- Build and train deep neural networks for complex data analysis.
- Implement cutting-edge techniques like convolutional and recurrent neural networks.
- Optimize the performance of algorithms for production-level applications.
- Utilize libraries like TensorFlow, Theano, and Keras for real-world projects.
- Develop skills in anomaly detection and advanced feature learning.
Author(s)
Authors None Zocca, None Spacagna, Daniel Slater, and None Roelants combine years of hands-on experience in deep learning and Python programming. With backgrounds in AI and practical experience in deploying machine learning solutions, they bring a wealth of knowledge. Their aim is to make complex topics accessible and help readers navigate the evolving field of artificial intelligence.
Who is it for?
This book is ideal for data scientists, AI engineers, and machine learning practitioners with foundational knowledge of Python and math concepts like calculus and statistics. Whether you're advancing your career or delving into AI, this book is an excellent resource for developing expertise in deep learning.
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