Hands-On Transfer Learning with Python

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

Hands-On Transfer Learning with Python

Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem
Mapt Subscription
FREE
$20.83/m after trial
eBook
$25.20
RRP $35.99
Save 29%
Print + eBook
$44.99
RRP $44.99
What do I get with a Mapt subscription?
  • Unlimited access to all Packt’s 6,000+ eBooks and Videos
  • 100+ new titles a month, learning paths, assessments & code files
  • 1 Free eBook or Video to download and keep every month after trial
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
$0.00
$25.20
$44.99
$29.99 p/m after trial
RRP $35.99
RRP $44.99
Subscription
eBook
Print + eBook
Start 14 Day Trial

Frequently bought together


Hands-On Transfer Learning with Python Book Cover
Hands-On Transfer Learning with Python
$ 35.99
$ 25.20
Hands-On Reinforcement Learning with Python Book Cover
Hands-On Reinforcement Learning with Python
$ 27.99
$ 19.60
Buy 2 for $35.00
Save $28.98
Add to Cart

Book Details

ISBN 139781788831307
Paperback438 pages

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 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

Chapter 3: Understanding Deep Learning Architectures

What You Will Learn

  • Set up your own DL environment with graphics processing unit (GPU) and Cloud support
  • Delve into transfer learning principles with ML and DL models
  • Explore various DL architectures, including CNN, LSTM, and capsule networks
  • Learn about data and network representation and loss functions
  • Get to grips with models and strategies in transfer learning
  • Walk through potential challenges in building complex transfer learning models from scratch
  • Explore real-world research problems related to computer vision and audio analysis
  • Understand how transfer learning can be leveraged in NLP

Authors

Table of Contents

Chapter 3: Understanding Deep Learning Architectures

Book Details

ISBN 139781788831307
Paperback438 pages
Read More

Read More Reviews

Recommended for You

Hands-On Reinforcement Learning with Python Book Cover
Hands-On Reinforcement Learning with Python
$ 27.99
$ 19.60
Deep Reinforcement Learning Hands-On Book Cover
Deep Reinforcement Learning Hands-On
$ 31.99
$ 22.40
Python Artificial Intelligence Projects Book Cover
Python Artificial Intelligence Projects
$ 39.99
$ 28.00
Natural Language Processing and Computational Linguistics Book Cover
Natural Language Processing and Computational Linguistics
$ 31.99
$ 22.40
Deep Learning Quick Reference Book Cover
Deep Learning Quick Reference
$ 31.99
$ 22.40
Reinforcement Learning with TensorFlow Book Cover
Reinforcement Learning with TensorFlow
$ 39.99
$ 28.00