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You're reading from Hands-On Transfer Learning with Python Implement advanced deep learning and neural network models using TensorFlow and Keras

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781788831307

Length 438 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (4):

Nitin Panwar

Raghav Bali

Tamoghna Ghosh

Dipanjan Sarkar

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Table of Contents (14) Chapters

Preface

1. Machine Learning Fundamentals FREE CHAPTER

2. Deep Learning Essentials

3. Understanding Deep Learning Architectures

4. Transfer Learning Fundamentals

5. Unleashing the Power of Transfer Learning

6. Image Recognition and Classification

7. Text Document Categorization

8. Audio Event Identification and Classification

9. DeepDream

10. Style Transfer

11. Automated Image Caption Generator

12. Image Colorization

13. Other Books You May Enjoy

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Authors (4)

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

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Nitin Panwar

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Tamoghna Ghosh

Tamoghna Ghosh is a machine learning engineer at Intel Corporation. He has overall 11 years of work experience including 4 years of core research experience at Microsoft Research (MSR) India. At MSR he worked as a research assistant in cryptanalysis of block ciphers. His technical expertise's are in big data, machine learning, NLP, information retrieval, data visualization and software development. He received M.Tech (Computer Science) degree from the Indian Statistical Institute, Kolkata and M.Sc (Mathematics) from University of Calcutta with specialization in functional analysis and mathematical modeling/dynamical systems. He is passionate about teaching and conducts internal training in data science for Intel at various levels.

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Raghav Bali

Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in research and development of enterprise-level solutions leveraging Machine Learning, Deep Learning, Natural Language Processing, and Recommendation Engines for practical business applications. Besides his professional endeavors, Raghav is an esteemed mentor and an accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored multiple well received books. Additionally, he holds co-inventor credits on multiple patents in healthcare, machine learning, deep learning, and natural language processing.

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