Book Image

Hands-On Transfer Learning with Python

By : Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
Book Image

Hands-On Transfer Learning with Python

By: Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Overview of this book

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 depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.
Table of Contents (14 chapters)

Style Transfer

Paintings require a special skill only a few have mastered. Paintings present a complex interplay of content and style. Photographs, on the other hand, are a combination of perspectives and light. When the two are combined, the results are spectacular and surprising. This process is called artistic style transfer. The following is an example of this, where the input image is of Neckarfront in Tübingen, Germany, and the style image is of the famous painting The Starry Night, by Vincent van Gogh. Interesting, isn't it? Take a look at the following images:

Left image: The original photograph depicting the Neckarfront in Tübingen, Germany. Right image: The painting (inset: The Starry Night by Vincent van Gogh) that provided the style for the respective generated image. Source: A Neural Algorithm of Artistic Style, Gatys et al. (arXiv:1508.06576v2)

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