Book

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 byPackt Logo

Difficulty Level
Intermediate
Completion Time
14h36m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 14h36m total length

1. Machine Learning Fundamentals
2. Deep Learning Essentials
3. Understanding Deep Learning Architectures
4. Transfer Learning Fundamentals
5. Unleash the Power of Transfer Learning
6. Image Recognition and Classification
7. Text Document Categorization
8. Audio Identification and Categorization
9. Deep Dream
10. Neural Style Transfer
11. Automated Image Caption Generator
12. Image Colorization

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