Hands-On Transfer Learning with Python
The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
Offered by
Difficulty Level
Intermediate
Completion Time
14h36m
Language
English
About Book
Who Is This Book For?
Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
Hands-On Transfer Learning with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h36m total length
Machine Learning Fundamentals
Deep Learning Essentials
Understanding Deep Learning Architectures
Transfer Learning Fundamentals
Unleash the Power of Transfer Learning
Image Recognition and Classification
Text Document Categorization
Audio Identification and Categorization
Deep Dream
Neural Style Transfer
Automated Image Caption Generator
Image Colorization
Related Resources
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