Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow (repost)
Hands-On Transfer Learning with Python
by Dipanjan Sarkar, Raghav Bali
English | 2018 | ISBN: 1788831306 | 431 Pages | PDF EPUB (True) | 74 MB
Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems.
The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples.