Book Image

Hands-On Transfer Learning with Python

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

Hands-On Transfer Learning with Python

By: Dipanjan Sarkar, Nitin Panwar, 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)

Image Colorization

Colors are smiles of nature.
– Leigh Hunt

The world was captured in black and white until the 1840s. With a Nobel prize in physics in 1908, Gabriel Lippmann started the age of color captures. It was in 1935 when Eastman Kodak came out with an integral tripack color film, called Kodachrome, to capture color photographs.

Color images are not just about aesthetics and beauty, they capture a whole lot more information than black and white images. Color is an important property of real-world objects and it adds another dimension to our perception of the world around us. The importance of colors is such that there have been a number of projects to color historical works of art and photography throughout history. With the advent of tools such as Adobe Photoshop and GIMP, people have been painstakingly turning old photographs into color ones. The reddit r/Colorization...