Hands-On Transfer Learning with Python

Author: Dipanjan Sarkar

Subject: COM004000 - COMPUTERS / Intelligence (AI) and Semantics; COM044000 - COMPUTERS / Neural Networks; COM042000 - COMPUTERS / Natural Language Processing

Publisher: Packt Publishing (2018-08-30)

1-788-83905-6

Hands-On Transfer Learning with Python ebook cover

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research problems
  • Perform complex operations such as image captioning neural style transfer

    Book Description

    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.

    The book starts with the key essential concepts of ML and DL, followed by...