Hands-On Transfer Learning with Python

In 'Hands-On Transfer Learning with Python,' you will learn the core principles of transfer learning and deep learning while leveraging frameworks such as TensorFlow and Keras. Through clear examples and projects, you will become proficient in using transfer learning to solve real-world problems.

What this Book will help me do

• Set up environments with GPU and Cloud support to enhance computational capabilities for deep learning.
• Gain in-depth knowledge of deep learning architectures such as CNNs, LSTMs, and capsule networks.
• Master the foundations and strategies of transfer learning, including pre-trained models.
• Develop applications in areas like image recognition, speech processing, and NLP using transfer learning.
• Understand the challenges in transfer learning and how to effectively address them in practical projects.

Author(s)

Nitin Panwar, None Sarkar, Raghav Bali, and Tamoghna Ghosh are experienced professionals and researchers in the fields of data science, deep learning, and machine learning. With a strong technical background and years of application-focused expertise, they bring hands-on, practical knowledge to the subject of transfer learning in this comprehensive guide.

Who is it for?

This book is tailored for data scientists, machine learning engineers, developers, and analysts who have foundational knowledge in Python and basic proficiency in machine learning. If you're looking to expand your skills in advanced topics like transfer learning and deep learning, this is an ideal resource. It helps you build upon your existing knowledge to address real-world challenges.